mcp-servers-git-packed.txt•561 kB
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<directory_structure>
.github/
workflows/
python.yml
release.yml
typescript.yml
version-check.yml
pull_request_template.md
scripts/
release.py
src/
aws-kb-retrieval-server/
Dockerfile
index.ts
package.json
README.md
tsconfig.json
brave-search/
Dockerfile
index.ts
package.json
README.md
tsconfig.json
everart/
Dockerfile
index.ts
package.json
README.md
tsconfig.json
everything/
Dockerfile
everything.ts
index.ts
package.json
README.md
sse.ts
tsconfig.json
fetch/
src/
mcp_server_fetch/
__init__.py
__main__.py
server.py
.python-version
Dockerfile
LICENSE
pyproject.toml
README.md
uv.lock
filesystem/
Dockerfile
index.ts
package.json
README.md
tsconfig.json
gdrive/
Dockerfile
index.ts
package.json
README.md
replace_open.sh
tsconfig.json
git/
src/
mcp_server_git/
__init__.py
__main__.py
server.py
tests/
test_server.py
.gitignore
.python-version
Dockerfile
LICENSE
pyproject.toml
README.md
uv.lock
github/
common/
errors.ts
types.ts
utils.ts
version.ts
operations/
branches.ts
commits.ts
files.ts
issues.ts
pulls.ts
repository.ts
search.ts
Dockerfile
index.ts
package.json
README.md
tsconfig.json
gitlab/
Dockerfile
index.ts
package.json
README.md
schemas.ts
tsconfig.json
google-maps/
Dockerfile
index.ts
package.json
README.md
tsconfig.json
memory/
Dockerfile
index.ts
package.json
README.md
tsconfig.json
postgres/
Dockerfile
index.ts
package.json
README.md
tsconfig.json
puppeteer/
Dockerfile
index.ts
package.json
README.md
tsconfig.json
redis/
src/
index.ts
Dockerfile
package.json
README.md
tsconfig.json
sentry/
src/
mcp_server_sentry/
__init__.py
__main__.py
server.py
.python-version
Dockerfile
pyproject.toml
README.md
uv.lock
sequentialthinking/
Dockerfile
index.ts
package.json
README.md
tsconfig.json
slack/
Dockerfile
index.ts
package.json
tsconfig.json
sqlite/
src/
mcp_server_sqlite/
__init__.py
server.py
.python-version
Dockerfile
pyproject.toml
README.md
uv.lock
time/
src/
mcp_server_time/
__init__.py
__main__.py
server.py
test/
time_server_test.py
.python-version
Dockerfile
pyproject.toml
README.md
uv.lock
.gitattributes
.gitignore
.npmrc
CODE_OF_CONDUCT.md
CONTRIBUTING.md
LICENSE
package.json
README.md
SECURITY.md
tsconfig.json
</directory_structure>
<files>
This section contains the contents of the repository's files.
<file path=".github/workflows/python.yml">
name: Python
on:
push:
branches:
- main
pull_request:
release:
types: [published]
jobs:
detect-packages:
runs-on: ubuntu-latest
outputs:
packages: ${{ steps.find-packages.outputs.packages }}
steps:
- uses: actions/checkout@v4
- name: Find Python packages
id: find-packages
working-directory: src
run: |
PACKAGES=$(find . -name pyproject.toml -exec dirname {} \; | sed 's/^\.\///' | jq -R -s -c 'split("\n")[:-1]')
echo "packages=$PACKAGES" >> $GITHUB_OUTPUT
build:
needs: [detect-packages]
strategy:
matrix:
package: ${{ fromJson(needs.detect-packages.outputs.packages) }}
name: Build ${{ matrix.package }}
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Install uv
uses: astral-sh/setup-uv@v3
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version-file: "src/${{ matrix.package }}/.python-version"
- name: Install dependencies
working-directory: src/${{ matrix.package }}
run: uv sync --frozen --all-extras --dev
- name: Run pyright
working-directory: src/${{ matrix.package }}
run: uv run --frozen pyright
- name: Build package
working-directory: src/${{ matrix.package }}
run: uv build
- name: Upload artifacts
uses: actions/upload-artifact@v4
with:
name: dist-${{ matrix.package }}
path: src/${{ matrix.package }}/dist/
publish:
runs-on: ubuntu-latest
needs: [build, detect-packages]
if: github.event_name == 'release'
strategy:
matrix:
package: ${{ fromJson(needs.detect-packages.outputs.packages) }}
name: Publish ${{ matrix.package }}
environment: release
permissions:
id-token: write # Required for trusted publishing
steps:
- name: Download artifacts
uses: actions/download-artifact@v4
with:
name: dist-${{ matrix.package }}
path: dist/
- name: Publish package to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
</file>
<file path=".github/workflows/release.yml">
name: Automatic Release Creation
on:
workflow_dispatch:
schedule:
- cron: '0 10 * * *'
jobs:
create-metadata:
runs-on: ubuntu-latest
outputs:
hash: ${{ steps.last-release.outputs.hash }}
version: ${{ steps.create-version.outputs.version}}
npm_packages: ${{ steps.create-npm-packages.outputs.npm_packages}}
pypi_packages: ${{ steps.create-pypi-packages.outputs.pypi_packages}}
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Get last release hash
id: last-release
run: |
HASH=$(git rev-list --tags --max-count=1 || echo "HEAD~1")
echo "hash=${HASH}" >> $GITHUB_OUTPUT
echo "Using last release hash: ${HASH}"
- name: Install uv
uses: astral-sh/setup-uv@v5
- name: Create version name
id: create-version
run: |
VERSION=$(uv run --script scripts/release.py generate-version)
echo "version $VERSION"
echo "version=$VERSION" >> $GITHUB_OUTPUT
- name: Create notes
run: |
HASH="${{ steps.last-release.outputs.hash }}"
uv run --script scripts/release.py generate-notes --directory src/ $HASH > RELEASE_NOTES.md
cat RELEASE_NOTES.md
- name: Release notes
uses: actions/upload-artifact@v4
with:
name: release-notes
path: RELEASE_NOTES.md
- name: Create python matrix
id: create-pypi-packages
run: |
HASH="${{ steps.last-release.outputs.hash }}"
PYPI=$(uv run --script scripts/release.py generate-matrix --pypi --directory src $HASH)
echo "pypi_packages $PYPI"
echo "pypi_packages=$PYPI" >> $GITHUB_OUTPUT
- name: Create npm matrix
id: create-npm-packages
run: |
HASH="${{ steps.last-release.outputs.hash }}"
NPM=$(uv run --script scripts/release.py generate-matrix --npm --directory src $HASH)
echo "npm_packages $NPM"
echo "npm_packages=$NPM" >> $GITHUB_OUTPUT
update-packages:
needs: [create-metadata]
if: ${{ needs.create-metadata.outputs.npm_packages != '[]' || needs.create-metadata.outputs.pypi_packages != '[]' }}
runs-on: ubuntu-latest
environment: release
outputs:
changes_made: ${{ steps.commit.outputs.changes_made }}
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Install uv
uses: astral-sh/setup-uv@v5
- name: Update packages
run: |
HASH="${{ needs.create-metadata.outputs.hash }}"
uv run --script scripts/release.py update-packages --directory src/ $HASH
- name: Configure git
run: |
git config --global user.name "GitHub Actions"
git config --global user.email "actions@github.com"
- name: Commit changes
id: commit
run: |
VERSION="${{ needs.create-metadata.outputs.version }}"
git add -u
if git diff-index --quiet HEAD; then
echo "changes_made=false" >> $GITHUB_OUTPUT
else
git commit -m 'Automatic update of packages'
git tag -a "$VERSION" -m "Release $VERSION"
git push origin "$VERSION"
echo "changes_made=true" >> $GITHUB_OUTPUT
fi
publish-pypi:
needs: [update-packages, create-metadata]
strategy:
fail-fast: false
matrix:
package: ${{ fromJson(needs.create-metadata.outputs.pypi_packages) }}
name: Build ${{ matrix.package }}
environment: release
permissions:
id-token: write # Required for trusted publishing
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
ref: ${{ needs.create-metadata.outputs.version }}
- name: Install uv
uses: astral-sh/setup-uv@v5
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version-file: "src/${{ matrix.package }}/.python-version"
- name: Install dependencies
working-directory: src/${{ matrix.package }}
run: uv sync --frozen --all-extras --dev
- name: Run pyright
working-directory: src/${{ matrix.package }}
run: uv run --frozen pyright
- name: Build package
working-directory: src/${{ matrix.package }}
run: uv build
- name: Publish package to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: src/${{ matrix.package }}/dist
publish-npm:
needs: [update-packages, create-metadata]
strategy:
fail-fast: false
matrix:
package: ${{ fromJson(needs.create-metadata.outputs.npm_packages) }}
name: Build ${{ matrix.package }}
environment: release
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
ref: ${{ needs.create-metadata.outputs.version }}
- uses: actions/setup-node@v4
with:
node-version: 22
cache: npm
registry-url: 'https://registry.npmjs.org'
- name: Install dependencies
working-directory: src/${{ matrix.package }}
run: npm ci
- name: Check if version exists on npm
working-directory: src/${{ matrix.package }}
run: |
VERSION=$(jq -r .version package.json)
if npm view --json | jq -e --arg version "$VERSION" '[.[]][0].versions | contains([$version])'; then
echo "Version $VERSION already exists on npm"
exit 1
fi
echo "Version $VERSION is new, proceeding with publish"
- name: Build package
working-directory: src/${{ matrix.package }}
run: npm run build
- name: Publish package
working-directory: src/${{ matrix.package }}
run: |
npm publish --access public
env:
NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
create-release:
needs: [update-packages, create-metadata, publish-pypi, publish-npm]
if: needs.update-packages.outputs.changes_made == 'true'
runs-on: ubuntu-latest
environment: release
permissions:
contents: write
steps:
- uses: actions/checkout@v4
- name: Download release notes
uses: actions/download-artifact@v4
with:
name: release-notes
- name: Create release
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN}}
run: |
VERSION="${{ needs.create-metadata.outputs.version }}"
gh release create "$VERSION" \
--title "Release $VERSION" \
--notes-file RELEASE_NOTES.md
- name: Docker MCP images
uses: peter-evans/repository-dispatch@v3
with:
token: ${{ secrets.DOCKER_TOKEN }}
repository: docker/labs-ai-tools-for-devs
event-type: build-mcp-images
client-payload: '{"ref": "${{ needs.create-metadata.outputs.version }}"}'
</file>
<file path=".github/workflows/typescript.yml">
name: TypeScript
on:
push:
branches:
- main
pull_request:
release:
types: [published]
jobs:
detect-packages:
runs-on: ubuntu-latest
outputs:
packages: ${{ steps.find-packages.outputs.packages }}
steps:
- uses: actions/checkout@v4
- name: Find JS packages
id: find-packages
working-directory: src
run: |
PACKAGES=$(find . -name package.json -not -path "*/node_modules/*" -exec dirname {} \; | sed 's/^\.\///' | jq -R -s -c 'split("\n")[:-1]')
echo "packages=$PACKAGES" >> $GITHUB_OUTPUT
build:
needs: [detect-packages]
strategy:
matrix:
package: ${{ fromJson(needs.detect-packages.outputs.packages) }}
name: Build ${{ matrix.package }}
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 22
cache: npm
- name: Install dependencies
working-directory: src/${{ matrix.package }}
run: npm ci
- name: Build package
working-directory: src/${{ matrix.package }}
run: npm run build
publish:
runs-on: ubuntu-latest
needs: [build, detect-packages]
if: github.event_name == 'release'
environment: release
strategy:
matrix:
package: ${{ fromJson(needs.detect-packages.outputs.packages) }}
name: Publish ${{ matrix.package }}
permissions:
contents: read
id-token: write
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 22
cache: npm
registry-url: "https://registry.npmjs.org"
- name: Install dependencies
working-directory: src/${{ matrix.package }}
run: npm ci
- name: Publish package
working-directory: src/${{ matrix.package }}
run: npm publish --access public
env:
NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
</file>
<file path=".github/workflows/version-check.yml">
name: Version Consistency Check
on:
push:
branches:
- main
pull_request:
release:
types: [published]
jobs:
github:
name: Check GitHub server version consistency
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Check version consistency
run: |
PACKAGE_VERSION=$(node -p "require('./src/github/package.json').version")
TS_VERSION=$(grep -o '".*"' ./src/github/common/version.ts | tr -d '"')
if [ "$PACKAGE_VERSION" != "$TS_VERSION" ]; then
echo "::error::Version mismatch detected!"
echo "::error::package.json version: $PACKAGE_VERSION"
echo "::error::version.ts version: $TS_VERSION"
exit 1
else
echo "✅ Versions match: $PACKAGE_VERSION"
fi
</file>
<file path=".github/pull_request_template.md">
<!-- Provide a brief description of your changes -->
## Description
## Server Details
<!-- If modifying an existing server, provide details -->
- Server: <!-- e.g., filesystem, github -->
- Changes to: <!-- e.g., tools, resources, prompts -->
## Motivation and Context
<!-- Why is this change needed? What problem does it solve? -->
## How Has This Been Tested?
<!-- Have you tested this with an LLM client? Which scenarios were tested? -->
## Breaking Changes
<!-- Will users need to update their MCP client configurations? -->
## Types of changes
<!-- What types of changes does your code introduce? Put an `x` in all the boxes that apply: -->
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing functionality to change)
- [ ] Documentation update
## Checklist
<!-- Go over all the following points, and put an `x` in all the boxes that apply. -->
- [ ] I have read the [MCP Protocol Documentation](https://modelcontextprotocol.io)
- [ ] My changes follows MCP security best practices
- [ ] I have updated the server's README accordingly
- [ ] I have tested this with an LLM client
- [ ] My code follows the repository's style guidelines
- [ ] New and existing tests pass locally
- [ ] I have added appropriate error handling
- [ ] I have documented all environment variables and configuration options
## Additional context
<!-- Add any other context, implementation notes, or design decisions -->
</file>
<file path="scripts/release.py">
#!/usr/bin/env uv run --script
# /// script
# requires-python = ">=3.12"
# dependencies = [
# "click>=8.1.8",
# "tomlkit>=0.13.2"
# ]
# ///
⋮----
Version = NewType("Version", str)
GitHash = NewType("GitHash", str)
⋮----
class GitHashParamType(click.ParamType)
⋮----
name = "git_hash"
⋮----
# Verify hash exists in repo
⋮----
GIT_HASH = GitHashParamType()
⋮----
class Package(Protocol)
⋮----
path: Path
⋮----
def package_name(self) -> str: ...
⋮----
def update_version(self, version: Version) -> None: ...
⋮----
@dataclass
class NpmPackage
⋮----
def package_name(self) -> str
⋮----
def update_version(self, version: Version)
⋮----
data = json.load(f)
⋮----
@dataclass
class PyPiPackage
⋮----
toml_data = tomlkit.parse(f.read())
name = toml_data.get("project", {}).get("name")
⋮----
# Update version in pyproject.toml
⋮----
data = tomlkit.parse(f.read())
⋮----
def has_changes(path: Path, git_hash: GitHash) -> bool
⋮----
"""Check if any files changed between current state and git hash"""
⋮----
output = subprocess.run(
⋮----
changed_files = [Path(f) for f in output.stdout.splitlines()]
relevant_files = [f for f in changed_files if f.suffix in [".py", ".ts"]]
⋮----
def gen_version() -> Version
⋮----
"""Generate version based on current date"""
now = datetime.datetime.now()
⋮----
def find_changed_packages(directory: Path, git_hash: GitHash) -> Iterator[Package]
⋮----
@click.group()
def cli()
⋮----
@click.argument("git_hash", type=GIT_HASH)
def update_packages(directory: Path, git_hash: GitHash) -> int
⋮----
# Detect package type
path = directory.resolve(strict=True)
version = gen_version()
⋮----
name = package.package_name()
⋮----
@click.argument("git_hash", type=GIT_HASH)
def generate_notes(directory: Path, git_hash: GitHash) -> int
⋮----
@cli.command("generate-version")
def generate_version() -> int
⋮----
@click.option("--npm", is_flag=True, default=False)
@click.option("--pypi", is_flag=True, default=False)
@click.argument("git_hash", type=GIT_HASH)
def generate_matrix(directory: Path, git_hash: GitHash, pypi: bool, npm: bool) -> int
⋮----
changes = []
⋮----
pkg = package.path.relative_to(path)
</file>
<file path="src/aws-kb-retrieval-server/Dockerfile">
FROM node:22.12-alpine AS builder
COPY src/aws-kb-retrieval-server /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
FROM node:22-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]
</file>
<file path="src/aws-kb-retrieval-server/index.ts">
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
Tool,
} from "@modelcontextprotocol/sdk/types.js";
import {
BedrockAgentRuntimeClient,
RetrieveCommand,
RetrieveCommandInput,
} from "@aws-sdk/client-bedrock-agent-runtime";
⋮----
// AWS client initialization
⋮----
interface RAGSource {
id: string;
fileName: string;
snippet: string;
score: number;
}
⋮----
async function retrieveContext(
query: string,
knowledgeBaseId: string,
n: number = 3
): Promise<
⋮----
// Define the retrieval tool
⋮----
// Server setup
⋮----
// Request handlers
⋮----
// Server startup
async function runServer()
</file>
<file path="src/aws-kb-retrieval-server/package.json">
{
"name": "@modelcontextprotocol/server-aws-kb-retrieval",
"version": "0.6.2",
"description": "MCP server for AWS Knowledge Base retrieval using Bedrock Agent Runtime",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-aws-kb-retrieval": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "0.5.0",
"@aws-sdk/client-bedrock-agent-runtime": "^3.0.0"
},
"devDependencies": {
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
</file>
<file path="src/aws-kb-retrieval-server/README.md">
# AWS Knowledge Base Retrieval MCP Server
An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.
## Features
- **RAG (Retrieval-Augmented Generation)**: Retrieve context from the AWS Knowledge Base based on a query and a Knowledge Base ID.
- **Supports multiple results retrieval**: Option to retrieve a customizable number of results.
## Tools
- **retrieve_from_aws_kb**
- Perform retrieval operations using the AWS Knowledge Base.
- Inputs:
- `query` (string): The search query for retrieval.
- `knowledgeBaseId` (string): The ID of the AWS Knowledge Base.
- `n` (number, optional): Number of results to retrieve (default: 3).
## Configuration
### Setting up AWS Credentials
1. Obtain AWS access key ID, secret access key, and region from the AWS Management Console.
2. Ensure these credentials have appropriate permissions for Bedrock Agent Runtime operations.
### Usage with Claude Desktop
Add this to your `claude_desktop_config.json`:
#### Docker
```json
{
"mcpServers": {
"aws-kb-retrieval": {
"command": "docker",
"args": [ "run", "-i", "--rm", "-e", "AWS_ACCESS_KEY_ID", "-e", "AWS_SECRET_ACCESS_KEY", "-e", "AWS_REGION", "mcp/aws-kb-retrieval-server" ],
"env": {
"AWS_ACCESS_KEY_ID": "YOUR_ACCESS_KEY_HERE",
"AWS_SECRET_ACCESS_KEY": "YOUR_SECRET_ACCESS_KEY_HERE",
"AWS_REGION": "YOUR_AWS_REGION_HERE"
}
}
}
}
```
```json
{
"mcpServers": {
"aws-kb-retrieval": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-aws-kb-retrieval"
],
"env": {
"AWS_ACCESS_KEY_ID": "YOUR_ACCESS_KEY_HERE",
"AWS_SECRET_ACCESS_KEY": "YOUR_SECRET_ACCESS_KEY_HERE",
"AWS_REGION": "YOUR_AWS_REGION_HERE"
}
}
}
}
```
## Building
Docker:
```sh
docker build -t mcp/aws-kb-retrieval -f src/aws-kb-retrieval-server/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
This README assumes that your server package is named `@modelcontextprotocol/server-aws-kb-retrieval`. Adjust the package name and installation details if they differ in your setup. Also, ensure that your server script is correctly built and that all dependencies are properly managed in your `package.json`.
</file>
<file path="src/aws-kb-retrieval-server/tsconfig.json">
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": ".",
"composite": true,
"incremental": true,
"tsBuildInfoFile": "./dist/.tsbuildinfo"
},
"include": [
"./**/*.ts"
],
"exclude": [
"node_modules",
"dist"
]
}
</file>
<file path="src/brave-search/Dockerfile">
FROM node:22.12-alpine AS builder
# Must be entire project because `prepare` script is run during `npm install` and requires all files.
COPY src/brave-search /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
FROM node:22-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]
</file>
<file path="src/brave-search/index.ts">
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
Tool,
} from "@modelcontextprotocol/sdk/types.js";
⋮----
// Server implementation
⋮----
// Check for API key
⋮----
function checkRateLimit()
⋮----
interface BraveWeb {
web?: {
results?: Array<{
title: string;
description: string;
url: string;
language?: string;
published?: string;
rank?: number;
}>;
};
locations?: {
results?: Array<{
id: string; // Required by API
title?: string;
}>;
};
}
⋮----
id: string; // Required by API
⋮----
interface BraveLocation {
id: string;
name: string;
address: {
streetAddress?: string;
addressLocality?: string;
addressRegion?: string;
postalCode?: string;
};
coordinates?: {
latitude: number;
longitude: number;
};
phone?: string;
rating?: {
ratingValue?: number;
ratingCount?: number;
};
openingHours?: string[];
priceRange?: string;
}
⋮----
interface BravePoiResponse {
results: BraveLocation[];
}
⋮----
interface BraveDescription {
descriptions: {[id: string]: string};
}
⋮----
function isBraveWebSearchArgs(args: unknown): args is
⋮----
function isBraveLocalSearchArgs(args: unknown): args is
⋮----
async function performWebSearch(query: string, count: number = 10, offset: number = 0)
⋮----
url.searchParams.set('count', Math.min(count, 20).toString()); // API limit
⋮----
// Extract just web results
⋮----
async function performLocalSearch(query: string, count: number = 5)
⋮----
// Initial search to get location IDs
⋮----
return performWebSearch(query, count); // Fallback to web search
⋮----
// Get POI details and descriptions in parallel
⋮----
async function getPoisData(ids: string[]): Promise<BravePoiResponse>
⋮----
async function getDescriptionsData(ids: string[]): Promise<BraveDescription>
⋮----
function formatLocalResults(poisData: BravePoiResponse, descData: BraveDescription): string
⋮----
// Tool handlers
⋮----
async function runServer()
</file>
<file path="src/brave-search/package.json">
{
"name": "@modelcontextprotocol/server-brave-search",
"version": "0.6.2",
"description": "MCP server for Brave Search API integration",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-brave-search": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1"
},
"devDependencies": {
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
</file>
<file path="src/brave-search/README.md">
# Brave Search MCP Server
An MCP server implementation that integrates the Brave Search API, providing both web and local search capabilities.
## Features
- **Web Search**: General queries, news, articles, with pagination and freshness controls
- **Local Search**: Find businesses, restaurants, and services with detailed information
- **Flexible Filtering**: Control result types, safety levels, and content freshness
- **Smart Fallbacks**: Local search automatically falls back to web when no results are found
## Tools
- **brave_web_search**
- Execute web searches with pagination and filtering
- Inputs:
- `query` (string): Search terms
- `count` (number, optional): Results per page (max 20)
- `offset` (number, optional): Pagination offset (max 9)
- **brave_local_search**
- Search for local businesses and services
- Inputs:
- `query` (string): Local search terms
- `count` (number, optional): Number of results (max 20)
- Automatically falls back to web search if no local results found
## Configuration
### Getting an API Key
1. Sign up for a [Brave Search API account](https://brave.com/search/api/)
2. Choose a plan (Free tier available with 2,000 queries/month)
3. Generate your API key [from the developer dashboard](https://api.search.brave.com/app/keys)
### Usage with Claude Desktop
Add this to your `claude_desktop_config.json`:
### Docker
```json
{
"mcpServers": {
"brave-search": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BRAVE_API_KEY",
"mcp/brave-search"
],
"env": {
"BRAVE_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
```
### NPX
```json
{
"mcpServers": {
"brave-search": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-brave-search"
],
"env": {
"BRAVE_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}
```
## Build
Docker build:
```bash
docker build -t mcp/brave-search:latest -f src/brave-search/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
<file path="src/brave-search/tsconfig.json">
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}
</file>
<file path="src/everart/Dockerfile">
FROM node:22.12-alpine AS builder
COPY src/everart /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
FROM node:22-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]
CMD ["node", "dist/index.js"]
</file>
<file path="src/everart/index.ts">
import EverArt from "everart";
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
ListResourcesRequestSchema,
ReadResourceRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import fetch from "node-fetch";
import open from "open";
⋮----
resources: {}, // Required for image resources
⋮----
blob: "", // Empty since this is just for listing
⋮----
// Use correct EverArt API method
⋮----
// Wait for generation to complete
⋮----
// Automatically open the image URL in the default browser
⋮----
// Return a formatted message with the clickable link
⋮----
async function runServer()
</file>
<file path="src/everart/package.json">
{
"name": "@modelcontextprotocol/server-everart",
"version": "0.6.2",
"description": "MCP server for EverArt API integration",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-everart": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "0.5.0",
"everart": "^1.0.0",
"node-fetch": "^3.3.2",
"open": "^9.1.0"
},
"devDependencies": {
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.3.3"
}
}
</file>
<file path="src/everart/README.md">
# EverArt MCP Server
Image generation server for Claude Desktop using EverArt's API.
## Install
```bash
npm install
export EVERART_API_KEY=your_key_here
```
## Config
Add to Claude Desktop config:
### Docker
```json
{
"mcpServers": {
"everart": {
"command": "docker",
"args": ["run", "-i", "--rm", "-e", "EVERART_API_KEY", "mcp/everart"],
"env": {
"EVERART_API_KEY": "your_key_here"
}
}
}
}
```
### NPX
```json
{
"mcpServers": {
"everart": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-everart"],
"env": {
"EVERART_API_KEY": "your_key_here"
}
}
}
}
```
## Tools
### generate_image
Generates images with multiple model options. Opens result in browser and returns URL.
Parameters:
```typescript
{
prompt: string, // Image description
model?: string, // Model ID (default: "207910310772879360")
image_count?: number // Number of images (default: 1)
}
```
Models:
- 5000: FLUX1.1 (standard)
- 9000: FLUX1.1-ultra
- 6000: SD3.5
- 7000: Recraft-Real
- 8000: Recraft-Vector
All images generated at 1024x1024.
Sample usage:
```javascript
const result = await client.callTool({
name: "generate_image",
arguments: {
prompt: "A cat sitting elegantly",
model: "7000",
image_count: 1
}
});
```
Response format:
```
Image generated successfully!
The image has been opened in your default browser.
Generation details:
- Model: 7000
- Prompt: "A cat sitting elegantly"
- Image URL: https://storage.googleapis.com/...
You can also click the URL above to view the image again.
```
## Building w/ Docker
```sh
docker build -t mcp/everart -f src/everart/Dockerfile .
```
</file>
<file path="src/everart/tsconfig.json">
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}
</file>
<file path="src/everything/Dockerfile">
FROM node:22.12-alpine AS builder
COPY src/everything /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
FROM node:22-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
CMD ["node", "dist/index.js"]
</file>
<file path="src/everything/everything.ts">
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import {
CallToolRequestSchema,
CompleteRequestSchema,
CreateMessageRequest,
CreateMessageResultSchema,
GetPromptRequestSchema,
ListPromptsRequestSchema,
ListResourcesRequestSchema,
ListResourceTemplatesRequestSchema,
ListToolsRequestSchema,
LoggingLevel,
ReadResourceRequestSchema,
Resource,
SetLevelRequestSchema,
SubscribeRequestSchema,
Tool,
ToolSchema,
UnsubscribeRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import { z } from "zod";
import { zodToJsonSchema } from "zod-to-json-schema";
⋮----
type ToolInput = z.infer<typeof ToolInputSchema>;
⋮----
/* Input schemas for tools implemented in this server */
⋮----
// Example completion values
⋮----
enum ToolName {
ECHO = "echo",
ADD = "add",
LONG_RUNNING_OPERATION = "longRunningOperation",
PRINT_ENV = "printEnv",
SAMPLE_LLM = "sampleLLM",
GET_TINY_IMAGE = "getTinyImage",
ANNOTATED_MESSAGE = "annotatedMessage",
}
⋮----
enum PromptName {
SIMPLE = "simple_prompt",
COMPLEX = "complex_prompt",
}
⋮----
export const createServer = () =>
⋮----
// Set up update interval for subscribed resources
⋮----
const isMessageIgnored = (level:LoggingLevel):boolean =>
⋮----
// Set up update interval for random log messages
⋮----
// Helper method to request sampling from client
const requestSampling = async (
context: string,
uri: string,
maxTokens: number = 100,
) =>
⋮----
// Request sampling from client when someone subscribes
⋮----
// Main message with different priorities/audiences based on type
⋮----
priority: 1.0, // Errors are highest priority
audience: ["user", "assistant"] // Both need to know about errors
⋮----
priority: 0.7, // Success messages are important but not critical
audience: ["user"] // Success mainly for user consumption
⋮----
priority: 0.3, // Debug info is low priority
audience: ["assistant"] // Technical details for assistant
⋮----
// Optional image with its own annotations
⋮----
audience: ["user"] // Images primarily for user visualization
⋮----
// Filter resource IDs that start with the input value
⋮----
// Handle completion for prompt arguments
⋮----
// Demonstrate different log levels
⋮----
const cleanup = async () =>
</file>
<file path="src/everything/index.ts">
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { createServer } from "./everything.js";
⋮----
async function main()
⋮----
// Cleanup on exit
</file>
<file path="src/everything/package.json">
{
"name": "@modelcontextprotocol/server-everything",
"version": "0.6.2",
"description": "MCP server that exercises all the features of the MCP protocol",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-everything": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch",
"start": "node dist/index.js",
"start:sse": "node dist/sse.js"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1",
"express": "^4.21.1",
"zod": "^3.23.8",
"zod-to-json-schema": "^3.23.5"
},
"devDependencies": {
"@types/express": "^5.0.0",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
</file>
<file path="src/everything/README.md">
# Everything MCP Server
This MCP server attempts to exercise all the features of the MCP protocol. It is not intended to be a useful server, but rather a test server for builders of MCP clients. It implements prompts, tools, resources, sampling, and more to showcase MCP capabilities.
## Components
### Tools
1. `echo`
- Simple tool to echo back input messages
- Input:
- `message` (string): Message to echo back
- Returns: Text content with echoed message
2. `add`
- Adds two numbers together
- Inputs:
- `a` (number): First number
- `b` (number): Second number
- Returns: Text result of the addition
3. `longRunningOperation`
- Demonstrates progress notifications for long operations
- Inputs:
- `duration` (number, default: 10): Duration in seconds
- `steps` (number, default: 5): Number of progress steps
- Returns: Completion message with duration and steps
- Sends progress notifications during execution
4. `sampleLLM`
- Demonstrates LLM sampling capability using MCP sampling feature
- Inputs:
- `prompt` (string): The prompt to send to the LLM
- `maxTokens` (number, default: 100): Maximum tokens to generate
- Returns: Generated LLM response
5. `getTinyImage`
- Returns a small test image
- No inputs required
- Returns: Base64 encoded PNG image data
6. `printEnv`
- Prints all environment variables
- Useful for debugging MCP server configuration
- No inputs required
- Returns: JSON string of all environment variables
7. `annotatedMessage`
- Demonstrates how annotations can be used to provide metadata about content
- Inputs:
- `messageType` (enum: "error" | "success" | "debug"): Type of message to demonstrate different annotation patterns
- `includeImage` (boolean, default: false): Whether to include an example image
- Returns: Content with varying annotations:
- Error messages: High priority (1.0), visible to both user and assistant
- Success messages: Medium priority (0.7), user-focused
- Debug messages: Low priority (0.3), assistant-focused
- Optional image: Medium priority (0.5), user-focused
- Example annotations:
```json
{
"priority": 1.0,
"audience": ["user", "assistant"]
}
```
### Resources
The server provides 100 test resources in two formats:
- Even numbered resources:
- Plaintext format
- URI pattern: `test://static/resource/{even_number}`
- Content: Simple text description
- Odd numbered resources:
- Binary blob format
- URI pattern: `test://static/resource/{odd_number}`
- Content: Base64 encoded binary data
Resource features:
- Supports pagination (10 items per page)
- Allows subscribing to resource updates
- Demonstrates resource templates
- Auto-updates subscribed resources every 5 seconds
### Prompts
1. `simple_prompt`
- Basic prompt without arguments
- Returns: Single message exchange
2. `complex_prompt`
- Advanced prompt demonstrating argument handling
- Required arguments:
- `temperature` (number): Temperature setting
- Optional arguments:
- `style` (string): Output style preference
- Returns: Multi-turn conversation with images
### Logging
The server sends random-leveled log messages every 15 seconds, e.g.:
```json
{
"method": "notifications/message",
"params": {
"level": "info",
"data": "Info-level message"
}
}
```
## Usage with Claude Desktop
Add to your `claude_desktop_config.json`:
```json
{
"mcpServers": {
"everything": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-everything"
]
}
}
}
```
</file>
<file path="src/everything/sse.ts">
import { SSEServerTransport } from "@modelcontextprotocol/sdk/server/sse.js";
import express from "express";
import { createServer } from "./everything.js";
</file>
<file path="src/everything/tsconfig.json">
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}
</file>
<file path="src/fetch/src/mcp_server_fetch/__init__.py">
def main()
⋮----
"""MCP Fetch Server - HTTP fetching functionality for MCP"""
⋮----
parser = argparse.ArgumentParser(
⋮----
args = parser.parse_args()
</file>
<file path="src/fetch/src/mcp_server_fetch/__main__.py">
# __main__.py
</file>
<file path="src/fetch/src/mcp_server_fetch/server.py">
DEFAULT_USER_AGENT_AUTONOMOUS = "ModelContextProtocol/1.0 (Autonomous; +https://github.com/modelcontextprotocol/servers)"
DEFAULT_USER_AGENT_MANUAL = "ModelContextProtocol/1.0 (User-Specified; +https://github.com/modelcontextprotocol/servers)"
⋮----
def extract_content_from_html(html: str) -> str
⋮----
"""Extract and convert HTML content to Markdown format.
Args:
html: Raw HTML content to process
Returns:
Simplified markdown version of the content
"""
ret = readabilipy.simple_json.simple_json_from_html_string(
⋮----
content = markdownify.markdownify(
⋮----
def get_robots_txt_url(url: str) -> str
⋮----
"""Get the robots.txt URL for a given website URL.
Args:
url: Website URL to get robots.txt for
Returns:
URL of the robots.txt file
"""
# Parse the URL into components
parsed = urlparse(url)
⋮----
# Reconstruct the base URL with just scheme, netloc, and /robots.txt path
robots_url = urlunparse((parsed.scheme, parsed.netloc, "/robots.txt", "", "", ""))
⋮----
async def check_may_autonomously_fetch_url(url: str, user_agent: str) -> None
⋮----
"""
Check if the URL can be fetched by the user agent according to the robots.txt file.
Raises a McpError if not.
"""
⋮----
robot_txt_url = get_robots_txt_url(url)
⋮----
response = await client.get(
⋮----
robot_txt = response.text
processed_robot_txt = "\n".join(
robot_parser = Protego.parse(processed_robot_txt)
⋮----
"""
Fetch the URL and return the content in a form ready for the LLM, as well as a prefix string with status information.
"""
⋮----
page_raw = response.text
⋮----
content_type = response.headers.get("content-type", "")
is_page_html = (
⋮----
class Fetch(BaseModel)
⋮----
"""Parameters for fetching a URL."""
⋮----
url: Annotated[AnyUrl, Field(description="URL to fetch")]
max_length: Annotated[
start_index: Annotated[
raw: Annotated[
⋮----
"""Run the fetch MCP server.
Args:
custom_user_agent: Optional custom User-Agent string to use for requests
ignore_robots_txt: Whether to ignore robots.txt restrictions
"""
server = Server("mcp-fetch")
user_agent_autonomous = custom_user_agent or DEFAULT_USER_AGENT_AUTONOMOUS
user_agent_manual = custom_user_agent or DEFAULT_USER_AGENT_MANUAL
⋮----
@server.list_tools()
async def list_tools() -> list[Tool]
⋮----
@server.list_prompts()
async def list_prompts() -> list[Prompt]
⋮----
@server.call_tool()
async def call_tool(name, arguments: dict) -> list[TextContent]
⋮----
args = Fetch(**arguments)
⋮----
url = str(args.url)
⋮----
original_length = len(content)
⋮----
content = "<error>No more content available.</error>"
⋮----
truncated_content = content[args.start_index : args.start_index + args.max_length]
⋮----
content = truncated_content
actual_content_length = len(truncated_content)
remaining_content = original_length - (args.start_index + actual_content_length)
# Only add the prompt to continue fetching if there is still remaining content
⋮----
next_start = args.start_index + actual_content_length
⋮----
@server.get_prompt()
async def get_prompt(name: str, arguments: dict | None) -> GetPromptResult
⋮----
url = arguments["url"]
⋮----
# TODO: after SDK bug is addressed, don't catch the exception
⋮----
options = server.create_initialization_options()
</file>
<file path="src/fetch/.python-version">
3.11
</file>
<file path="src/fetch/Dockerfile">
# Use a Python image with uv pre-installed
FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv
# Install the project into `/app`
WORKDIR /app
# Enable bytecode compilation
ENV UV_COMPILE_BYTECODE=1
# Copy from the cache instead of linking since it's a mounted volume
ENV UV_LINK_MODE=copy
# Install the project's dependencies using the lockfile and settings
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=uv.lock,target=uv.lock \
--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
uv sync --frozen --no-install-project --no-dev --no-editable
# Then, add the rest of the project source code and install it
# Installing separately from its dependencies allows optimal layer caching
ADD . /app
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-dev --no-editable
FROM python:3.12-slim-bookworm
WORKDIR /app
COPY --from=uv /root/.local /root/.local
COPY --from=uv --chown=app:app /app/.venv /app/.venv
# Place executables in the environment at the front of the path
ENV PATH="/app/.venv/bin:$PATH"
# when running the container, add --db-path and a bind mount to the host's db file
ENTRYPOINT ["mcp-server-fetch"]
</file>
<file path="src/fetch/LICENSE">
Copyright (c) 2024 Anthropic, PBC.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
</file>
<file path="src/fetch/pyproject.toml">
[project]
name = "mcp-server-fetch"
version = "0.6.2"
description = "A Model Context Protocol server providing tools to fetch and convert web content for usage by LLMs"
readme = "README.md"
requires-python = ">=3.10"
authors = [{ name = "Anthropic, PBC." }]
maintainers = [{ name = "Jack Adamson", email = "jadamson@anthropic.com" }]
keywords = ["http", "mcp", "llm", "automation"]
license = { text = "MIT" }
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
]
dependencies = [
"markdownify>=0.13.1",
"mcp>=1.1.3",
"protego>=0.3.1",
"pydantic>=2.0.0",
"readabilipy>=0.2.0",
"requests>=2.32.3",
]
[project.scripts]
mcp-server-fetch = "mcp_server_fetch:main"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.uv]
dev-dependencies = ["pyright>=1.1.389", "ruff>=0.7.3"]
</file>
<file path="src/fetch/README.md">
# Fetch MCP Server
A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.
The fetch tool will truncate the response, but by using the `start_index` argument, you can specify where to start the content extraction. This lets models read a webpage in chunks, until they find the information they need.
### Available Tools
- `fetch` - Fetches a URL from the internet and extracts its contents as markdown.
- `url` (string, required): URL to fetch
- `max_length` (integer, optional): Maximum number of characters to return (default: 5000)
- `start_index` (integer, optional): Start content from this character index (default: 0)
- `raw` (boolean, optional): Get raw content without markdown conversion (default: false)
### Prompts
- **fetch**
- Fetch a URL and extract its contents as markdown
- Arguments:
- `url` (string, required): URL to fetch
## Installation
Optionally: Install node.js, this will cause the fetch server to use a different HTML simplifier that is more robust.
### Using uv (recommended)
When using [`uv`](https://docs.astral.sh/uv/) no specific installation is needed. We will
use [`uvx`](https://docs.astral.sh/uv/guides/tools/) to directly run *mcp-server-fetch*.
### Using PIP
Alternatively you can install `mcp-server-fetch` via pip:
```
pip install mcp-server-fetch
```
After installation, you can run it as a script using:
```
python -m mcp_server_fetch
```
## Configuration
### Configure for Claude.app
Add to your Claude settings:
<details>
<summary>Using uvx</summary>
```json
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
}
}
```
</details>
<details>
<summary>Using docker</summary>
```json
"mcpServers": {
"fetch": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/fetch"]
}
}
```
</details>
<details>
<summary>Using pip installation</summary>
```json
"mcpServers": {
"fetch": {
"command": "python",
"args": ["-m", "mcp_server_fetch"]
}
}
```
</details>
### Customization - robots.txt
By default, the server will obey a websites robots.txt file if the request came from the model (via a tool), but not if
the request was user initiated (via a prompt). This can be disabled by adding the argument `--ignore-robots-txt` to the
`args` list in the configuration.
### Customization - User-agent
By default, depending on if the request came from the model (via a tool), or was user initiated (via a prompt), the
server will use either the user-agent
```
ModelContextProtocol/1.0 (Autonomous; +https://github.com/modelcontextprotocol/servers)
```
or
```
ModelContextProtocol/1.0 (User-Specified; +https://github.com/modelcontextprotocol/servers)
```
This can be customized by adding the argument `--user-agent=YourUserAgent` to the `args` list in the configuration.
## Debugging
You can use the MCP inspector to debug the server. For uvx installations:
```
npx @modelcontextprotocol/inspector uvx mcp-server-fetch
```
Or if you've installed the package in a specific directory or are developing on it:
```
cd path/to/servers/src/fetch
npx @modelcontextprotocol/inspector uv run mcp-server-fetch
```
## Contributing
We encourage contributions to help expand and improve mcp-server-fetch. Whether you want to add new tools, enhance existing functionality, or improve documentation, your input is valuable.
For examples of other MCP servers and implementation patterns, see:
https://github.com/modelcontextprotocol/servers
Pull requests are welcome! Feel free to contribute new ideas, bug fixes, or enhancements to make mcp-server-fetch even more powerful and useful.
## License
mcp-server-fetch is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
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<file path="src/filesystem/Dockerfile">
FROM node:22.12-alpine AS builder
WORKDIR /app
COPY src/filesystem /app
COPY tsconfig.json /tsconfig.json
RUN --mount=type=cache,target=/root/.npm npm install
RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev
FROM node:22-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "/app/dist/index.js"]
</file>
<file path="src/filesystem/index.ts">
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
ToolSchema,
} from "@modelcontextprotocol/sdk/types.js";
import fs from "fs/promises";
import path from "path";
import os from 'os';
import { z } from "zod";
import { zodToJsonSchema } from "zod-to-json-schema";
import { diffLines, createTwoFilesPatch } from 'diff';
import { minimatch } from 'minimatch';
⋮----
// Command line argument parsing
⋮----
// Normalize all paths consistently
function normalizePath(p: string): string
⋮----
function expandHome(filepath: string): string
⋮----
// Store allowed directories in normalized form
⋮----
// Validate that all directories exist and are accessible
⋮----
// Security utilities
async function validatePath(requestedPath: string): Promise<string>
⋮----
// Check if path is within allowed directories
⋮----
// Handle symlinks by checking their real path
⋮----
// For new files that don't exist yet, verify parent directory
⋮----
// Schema definitions
⋮----
type ToolInput = z.infer<typeof ToolInputSchema>;
⋮----
interface FileInfo {
size: number;
created: Date;
modified: Date;
accessed: Date;
isDirectory: boolean;
isFile: boolean;
permissions: string;
}
⋮----
// Server setup
⋮----
// Tool implementations
async function getFileStats(filePath: string): Promise<FileInfo>
⋮----
async function searchFiles(
rootPath: string,
pattern: string,
excludePatterns: string[] = []
): Promise<string[]>
⋮----
async function search(currentPath: string)
⋮----
// Validate each path before processing
⋮----
// Check if path matches any exclude pattern
⋮----
// Skip invalid paths during search
⋮----
// file editing and diffing utilities
function normalizeLineEndings(text: string): string
⋮----
function createUnifiedDiff(originalContent: string, newContent: string, filepath: string = 'file'): string
⋮----
// Ensure consistent line endings for diff
⋮----
async function applyFileEdits(
filePath: string,
edits: Array<{oldText: string, newText: string}>,
dryRun = false
): Promise<string>
⋮----
// Read file content and normalize line endings
⋮----
// Apply edits sequentially
⋮----
// If exact match exists, use it
⋮----
// Otherwise, try line-by-line matching with flexibility for whitespace
⋮----
// Compare lines with normalized whitespace
⋮----
// Preserve original indentation of first line
⋮----
// For subsequent lines, try to preserve relative indentation
⋮----
// Create unified diff
⋮----
// Format diff with appropriate number of backticks
⋮----
// Tool handlers
⋮----
interface TreeEntry {
name: string;
type: 'file' | 'directory';
children?: TreeEntry[];
}
⋮----
async function buildTree(currentPath: string): Promise<TreeEntry[]>
⋮----
// Start server
async function runServer()
</file>
<file path="src/filesystem/package.json">
{
"name": "@modelcontextprotocol/server-filesystem",
"version": "0.6.2",
"description": "MCP server for filesystem access",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-filesystem": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "0.5.0",
"diff": "^5.1.0",
"glob": "^10.3.10",
"minimatch": "^10.0.1",
"zod-to-json-schema": "^3.23.5"
},
"devDependencies": {
"@types/diff": "^5.0.9",
"@types/minimatch": "^5.1.2",
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.3.3"
}
}
</file>
<file path="src/filesystem/README.md">
# Filesystem MCP Server
Node.js server implementing Model Context Protocol (MCP) for filesystem operations.
## Features
- Read/write files
- Create/list/delete directories
- Move files/directories
- Search files
- Get file metadata
**Note**: The server will only allow operations within directories specified via `args`.
## API
### Resources
- `file://system`: File system operations interface
### Tools
- **read_file**
- Read complete contents of a file
- Input: `path` (string)
- Reads complete file contents with UTF-8 encoding
- **read_multiple_files**
- Read multiple files simultaneously
- Input: `paths` (string[])
- Failed reads won't stop the entire operation
- **write_file**
- Create new file or overwrite existing (exercise caution with this)
- Inputs:
- `path` (string): File location
- `content` (string): File content
- **edit_file**
- Make selective edits using advanced pattern matching and formatting
- Features:
- Line-based and multi-line content matching
- Whitespace normalization with indentation preservation
- Fuzzy matching with confidence scoring
- Multiple simultaneous edits with correct positioning
- Indentation style detection and preservation
- Git-style diff output with context
- Preview changes with dry run mode
- Failed match debugging with confidence scores
- Inputs:
- `path` (string): File to edit
- `edits` (array): List of edit operations
- `oldText` (string): Text to search for (can be substring)
- `newText` (string): Text to replace with
- `dryRun` (boolean): Preview changes without applying (default: false)
- `options` (object): Optional formatting settings
- `preserveIndentation` (boolean): Keep existing indentation (default: true)
- `normalizeWhitespace` (boolean): Normalize spaces while preserving structure (default: true)
- `partialMatch` (boolean): Enable fuzzy matching (default: true)
- Returns detailed diff and match information for dry runs, otherwise applies changes
- Best Practice: Always use dryRun first to preview changes before applying them
- **create_directory**
- Create new directory or ensure it exists
- Input: `path` (string)
- Creates parent directories if needed
- Succeeds silently if directory exists
- **list_directory**
- List directory contents with [FILE] or [DIR] prefixes
- Input: `path` (string)
- **move_file**
- Move or rename files and directories
- Inputs:
- `source` (string)
- `destination` (string)
- Fails if destination exists
- **search_files**
- Recursively search for files/directories
- Inputs:
- `path` (string): Starting directory
- `pattern` (string): Search pattern
- `excludePatterns` (string[]): Exclude any patterns. Glob formats are supported.
- Case-insensitive matching
- Returns full paths to matches
- **get_file_info**
- Get detailed file/directory metadata
- Input: `path` (string)
- Returns:
- Size
- Creation time
- Modified time
- Access time
- Type (file/directory)
- Permissions
- **list_allowed_directories**
- List all directories the server is allowed to access
- No input required
- Returns:
- Directories that this server can read/write from
## Usage with Claude Desktop
Add this to your `claude_desktop_config.json`:
Note: you can provide sandboxed directories to the server by mounting them to `/projects`. Adding the `ro` flag will make the directory readonly by the server.
### Docker
Note: all directories must be mounted to `/projects` by default.
```json
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/Users/username/Desktop,dst=/projects/Desktop",
"--mount", "type=bind,src=/path/to/other/allowed/dir,dst=/projects/other/allowed/dir,ro",
"--mount", "type=bind,src=/path/to/file.txt,dst=/projects/path/to/file.txt",
"mcp/filesystem",
"/projects"
]
}
}
}
```
### NPX
```json
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/Users/username/Desktop",
"/path/to/other/allowed/dir"
]
}
}
}
```
## Build
Docker build:
```bash
docker build -t mcp/filesystem -f src/filesystem/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
<file path="src/filesystem/tsconfig.json">
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": ".",
"moduleResolution": "NodeNext",
"module": "NodeNext"
},
"include": [
"./**/*.ts"
]
}
</file>
<file path="src/gdrive/Dockerfile">
FROM node:22.12-alpine AS builder
COPY src/gdrive /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev
FROM node:22-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
COPY src/gdrive/replace_open.sh /replace_open.sh
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
RUN sh /replace_open.sh
RUN rm /replace_open.sh
ENTRYPOINT ["node", "dist/index.js"]
</file>
<file path="src/gdrive/index.ts">
import { authenticate } from "@google-cloud/local-auth";
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListResourcesRequestSchema,
ListToolsRequestSchema,
ReadResourceRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import fs from "fs";
import { google } from "googleapis";
import path from "path";
import { fileURLToPath } from 'url';
⋮----
// First get file metadata to check mime type
⋮----
// For Google Docs/Sheets/etc we need to export
⋮----
// For regular files download content
⋮----
async function authenticateAndSaveCredentials()
⋮----
async function loadCredentialsAndRunServer()
</file>
<file path="src/gdrive/package.json">
{
"name": "@modelcontextprotocol/server-gdrive",
"version": "0.6.2",
"description": "MCP server for interacting with Google Drive",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-gdrive": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@google-cloud/local-auth": "^3.0.1",
"@modelcontextprotocol/sdk": "1.0.1",
"googleapis": "^144.0.0"
},
"devDependencies": {
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
</file>
<file path="src/gdrive/README.md">
# Google Drive server
This MCP server integrates with Google Drive to allow listing, reading, and searching over files.
## Components
### Tools
- **search**
- Search for files in Google Drive
- Input: `query` (string): Search query
- Returns file names and MIME types of matching files
### Resources
The server provides access to Google Drive files:
- **Files** (`gdrive:///<file_id>`)
- Supports all file types
- Google Workspace files are automatically exported:
- Docs → Markdown
- Sheets → CSV
- Presentations → Plain text
- Drawings → PNG
- Other files are provided in their native format
## Getting started
1. [Create a new Google Cloud project](https://console.cloud.google.com/projectcreate)
2. [Enable the Google Drive API](https://console.cloud.google.com/workspace-api/products)
3. [Configure an OAuth consent screen](https://console.cloud.google.com/apis/credentials/consent) ("internal" is fine for testing)
4. Add OAuth scope `https://www.googleapis.com/auth/drive.readonly`
5. [Create an OAuth Client ID](https://console.cloud.google.com/apis/credentials/oauthclient) for application type "Desktop App"
6. Download the JSON file of your client's OAuth keys
7. Rename the key file to `gcp-oauth.keys.json` and place into the root of this repo (i.e. `servers/gcp-oauth.keys.json`)
Make sure to build the server with either `npm run build` or `npm run watch`.
### Authentication
To authenticate and save credentials:
1. Run the server with the `auth` argument: `node ./dist auth`
2. This will open an authentication flow in your system browser
3. Complete the authentication process
4. Credentials will be saved in the root of this repo (i.e. `servers/.gdrive-server-credentials.json`)
### Usage with Desktop App
To integrate this server with the desktop app, add the following to your app's server configuration:
#### Docker
Authentication:
Assuming you have completed setting up the OAuth application on Google Cloud, you can now auth the server with the following command, replacing `/path/to/gcp-oauth.keys.json` with the path to your OAuth keys file:
```bash
docker run -i --rm --mount type=bind,source=/path/to/gcp-oauth.keys.json,target=/gcp-oauth.keys.json -v mcp-gdrive:/gdrive-server -e GDRIVE_OAUTH_PATH=/gcp-oauth.keys.json -e "GDRIVE_CREDENTIALS_PATH=/gdrive-server/credentials.json" -p 3000:3000 mcp/gdrive auth
```
The command will print the URL to open in your browser. Open this URL in your browser and complete the authentication process. The credentials will be saved in the `mcp-gdrive` volume.
Once authenticated, you can use the server in your app's server configuration:
```json
{
"mcpServers": {
"gdrive": {
"command": "docker",
"args": ["run", "-i", "--rm", "-v", "mcp-gdrive:/gdrive-server", "-e", "GDRIVE_CREDENTIALS_PATH=/gdrive-server/credentials.json", "mcp/gdrive"]
}
}
}
```
#### NPX
```json
{
"mcpServers": {
"gdrive": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-gdrive"
]
}
}
}
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
<file path="src/gdrive/replace_open.sh">
#! /bin/bash
# Basic script to replace opn(authorizeUrl, { wait: false }).then(cp => cp.unref()); with process.stdout.write(`Open this URL in your browser: ${authorizeUrl}`);
sed -i 's/opn(authorizeUrl, { wait: false }).then(cp => cp.unref());/process.stderr.write(`Open this URL in your browser: ${authorizeUrl}\n`);/' node_modules/@google-cloud/local-auth/build/src/index.js
</file>
<file path="src/gdrive/tsconfig.json">
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}
</file>
<file path="src/git/src/mcp_server_git/__init__.py">
@click.command()
@click.option("--repository", "-r", type=Path, help="Git repository path")
@click.option("-v", "--verbose", count=True)
def main(repository: Path | None, verbose: bool) -> None
⋮----
"""MCP Git Server - Git functionality for MCP"""
⋮----
logging_level = logging.WARN
⋮----
logging_level = logging.INFO
⋮----
logging_level = logging.DEBUG
</file>
<file path="src/git/src/mcp_server_git/__main__.py">
# __main__.py
</file>
<file path="src/git/src/mcp_server_git/server.py">
class GitStatus(BaseModel)
⋮----
repo_path: str
⋮----
class GitDiffUnstaged(BaseModel)
⋮----
class GitDiffStaged(BaseModel)
⋮----
class GitDiff(BaseModel)
⋮----
target: str
⋮----
class GitCommit(BaseModel)
⋮----
message: str
⋮----
class GitAdd(BaseModel)
⋮----
files: list[str]
⋮----
class GitReset(BaseModel)
⋮----
class GitLog(BaseModel)
⋮----
max_count: int = 10
⋮----
class GitCreateBranch(BaseModel)
⋮----
branch_name: str
base_branch: str | None = None
⋮----
class GitCheckout(BaseModel)
⋮----
class GitShow(BaseModel)
⋮----
revision: str
⋮----
class GitInit(BaseModel)
⋮----
class GitTools(str, Enum)
⋮----
STATUS = "git_status"
DIFF_UNSTAGED = "git_diff_unstaged"
DIFF_STAGED = "git_diff_staged"
DIFF = "git_diff"
COMMIT = "git_commit"
ADD = "git_add"
RESET = "git_reset"
LOG = "git_log"
CREATE_BRANCH = "git_create_branch"
CHECKOUT = "git_checkout"
SHOW = "git_show"
INIT = "git_init"
⋮----
def git_status(repo: git.Repo) -> str
⋮----
def git_diff_unstaged(repo: git.Repo) -> str
⋮----
def git_diff_staged(repo: git.Repo) -> str
⋮----
def git_diff(repo: git.Repo, target: str) -> str
⋮----
def git_commit(repo: git.Repo, message: str) -> str
⋮----
commit = repo.index.commit(message)
⋮----
def git_add(repo: git.Repo, files: list[str]) -> str
⋮----
def git_reset(repo: git.Repo) -> str
⋮----
def git_log(repo: git.Repo, max_count: int = 10) -> list[str]
⋮----
commits = list(repo.iter_commits(max_count=max_count))
log = []
⋮----
def git_create_branch(repo: git.Repo, branch_name: str, base_branch: str | None = None) -> str
⋮----
base = repo.refs[base_branch]
⋮----
base = repo.active_branch
⋮----
def git_checkout(repo: git.Repo, branch_name: str) -> str
⋮----
def git_init(repo_path: str) -> str
⋮----
repo = git.Repo.init(path=repo_path, mkdir=True)
⋮----
def git_show(repo: git.Repo, revision: str) -> str
⋮----
commit = repo.commit(revision)
output = [
⋮----
parent = commit.parents[0]
diff = parent.diff(commit, create_patch=True)
⋮----
diff = commit.diff(git.NULL_TREE, create_patch=True)
⋮----
async def serve(repository: Path | None) -> None
⋮----
logger = logging.getLogger(__name__)
⋮----
server = Server("mcp-git")
⋮----
@server.list_tools()
async def list_tools() -> list[Tool]
⋮----
async def list_repos() -> Sequence[str]
⋮----
async def by_roots() -> Sequence[str]
⋮----
roots_result: ListRootsResult = await server.request_context.session.list_roots()
⋮----
repo_paths = []
⋮----
path = root.uri.path
⋮----
def by_commandline() -> Sequence[str]
⋮----
cmd_repos = by_commandline()
root_repos = await by_roots()
⋮----
@server.call_tool()
async def call_tool(name: str, arguments: dict) -> list[TextContent]
⋮----
repo_path = Path(arguments["repo_path"])
⋮----
# Handle git init separately since it doesn't require an existing repo
⋮----
result = git_init(str(repo_path))
⋮----
# For all other commands, we need an existing repo
repo = git.Repo(repo_path)
⋮----
status = git_status(repo)
⋮----
diff = git_diff_unstaged(repo)
⋮----
diff = git_diff_staged(repo)
⋮----
diff = git_diff(repo, arguments["target"])
⋮----
result = git_commit(repo, arguments["message"])
⋮----
result = git_add(repo, arguments["files"])
⋮----
result = git_reset(repo)
⋮----
log = git_log(repo, arguments.get("max_count", 10))
⋮----
result = git_create_branch(
⋮----
result = git_checkout(repo, arguments["branch_name"])
⋮----
result = git_show(repo, arguments["revision"])
⋮----
options = server.create_initialization_options()
</file>
<file path="src/git/tests/test_server.py">
@pytest.fixture
def test_repository(tmp_path: Path)
⋮----
repo_path = tmp_path / "temp_test_repo"
test_repo = git.Repo.init(repo_path)
⋮----
def test_git_checkout_existing_branch(test_repository)
⋮----
result = git_checkout(test_repository, "test-branch")
⋮----
def test_git_checkout_nonexistent_branch(test_repository)
</file>
<file path="src/git/.gitignore">
__pycache__
.venv
</file>
<file path="src/git/.python-version">
3.10
</file>
<file path="src/git/Dockerfile">
# Use a Python image with uv pre-installed
FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv
# Install the project into `/app`
WORKDIR /app
# Enable bytecode compilation
ENV UV_COMPILE_BYTECODE=1
# Copy from the cache instead of linking since it's a mounted volume
ENV UV_LINK_MODE=copy
# Install the project's dependencies using the lockfile and settings
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=uv.lock,target=uv.lock \
--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
uv sync --frozen --no-install-project --no-dev --no-editable
# Then, add the rest of the project source code and install it
# Installing separately from its dependencies allows optimal layer caching
ADD . /app
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-dev --no-editable
FROM python:3.12-slim-bookworm
RUN apt-get update && apt-get install -y git && rm -rf /var/lib/apt/lists/*
WORKDIR /app
COPY --from=uv /root/.local /root/.local
COPY --from=uv --chown=app:app /app/.venv /app/.venv
# Place executables in the environment at the front of the path
ENV PATH="/app/.venv/bin:$PATH"
# when running the container, add --db-path and a bind mount to the host's db file
ENTRYPOINT ["mcp-server-git"]
</file>
<file path="src/git/LICENSE">
Copyright (c) 2024 Anthropic, PBC.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
</file>
<file path="src/git/pyproject.toml">
[project]
name = "mcp-server-git"
version = "0.6.2"
description = "A Model Context Protocol server providing tools to read, search, and manipulate Git repositories programmatically via LLMs"
readme = "README.md"
requires-python = ">=3.10"
authors = [{ name = "Anthropic, PBC." }]
maintainers = [{ name = "David Soria Parra", email = "davidsp@anthropic.com" }]
keywords = ["git", "mcp", "llm", "automation"]
license = { text = "MIT" }
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
]
dependencies = [
"click>=8.1.7",
"gitpython>=3.1.43",
"mcp>=1.0.0",
"pydantic>=2.0.0",
]
[project.scripts]
mcp-server-git = "mcp_server_git:main"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.uv]
dev-dependencies = ["pyright>=1.1.389", "ruff>=0.7.3", "pytest>=8.0.0"]
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = "test_*.py"
python_classes = "Test*"
python_functions = "test_*"
</file>
<file path="src/git/README.md">
# mcp-server-git: A git MCP server
## Overview
A Model Context Protocol server for Git repository interaction and automation. This server provides tools to read, search, and manipulate Git repositories via Large Language Models.
Please note that mcp-server-git is currently in early development. The functionality and available tools are subject to change and expansion as we continue to develop and improve the server.
### Tools
1. `git_status`
- Shows the working tree status
- Input:
- `repo_path` (string): Path to Git repository
- Returns: Current status of working directory as text output
2. `git_diff_unstaged`
- Shows changes in working directory not yet staged
- Input:
- `repo_path` (string): Path to Git repository
- Returns: Diff output of unstaged changes
3. `git_diff_staged`
- Shows changes that are staged for commit
- Input:
- `repo_path` (string): Path to Git repository
- Returns: Diff output of staged changes
4. `git_diff`
- Shows differences between branches or commits
- Inputs:
- `repo_path` (string): Path to Git repository
- `target` (string): Target branch or commit to compare with
- Returns: Diff output comparing current state with target
5. `git_commit`
- Records changes to the repository
- Inputs:
- `repo_path` (string): Path to Git repository
- `message` (string): Commit message
- Returns: Confirmation with new commit hash
6. `git_add`
- Adds file contents to the staging area
- Inputs:
- `repo_path` (string): Path to Git repository
- `files` (string[]): Array of file paths to stage
- Returns: Confirmation of staged files
7. `git_reset`
- Unstages all staged changes
- Input:
- `repo_path` (string): Path to Git repository
- Returns: Confirmation of reset operation
8. `git_log`
- Shows the commit logs
- Inputs:
- `repo_path` (string): Path to Git repository
- `max_count` (number, optional): Maximum number of commits to show (default: 10)
- Returns: Array of commit entries with hash, author, date, and message
9. `git_create_branch`
- Creates a new branch
- Inputs:
- `repo_path` (string): Path to Git repository
- `branch_name` (string): Name of the new branch
- `start_point` (string, optional): Starting point for the new branch
- Returns: Confirmation of branch creation
10. `git_checkout`
- Switches branches
- Inputs:
- `repo_path` (string): Path to Git repository
- `branch_name` (string): Name of branch to checkout
- Returns: Confirmation of branch switch
11. `git_show`
- Shows the contents of a commit
- Inputs:
- `repo_path` (string): Path to Git repository
- `revision` (string): The revision (commit hash, branch name, tag) to show
- Returns: Contents of the specified commit
12. `git_init`
- Initializes a Git repository
- Inputs:
- `repo_path` (string): Path to directory to initialize git repo
- Returns: Confirmation of repository initialization
## Installation
### Using uv (recommended)
When using [`uv`](https://docs.astral.sh/uv/) no specific installation is needed. We will
use [`uvx`](https://docs.astral.sh/uv/guides/tools/) to directly run *mcp-server-git*.
### Using PIP
Alternatively you can install `mcp-server-git` via pip:
```
pip install mcp-server-git
```
After installation, you can run it as a script using:
```
python -m mcp_server_git
```
## Configuration
### Usage with Claude Desktop
Add this to your `claude_desktop_config.json`:
<details>
<summary>Using uvx</summary>
```json
"mcpServers": {
"git": {
"command": "uvx",
"args": ["mcp-server-git", "--repository", "path/to/git/repo"]
}
}
```
</details>
<details>
<summary>Using docker</summary>
* Note: replace '/Users/username' with the a path that you want to be accessible by this tool
```json
"mcpServers": {
"git": {
"command": "docker",
"args": ["run", "--rm", "-i", "--mount", "type=bind,src=/Users/username,dst=/Users/username", "mcp/git"]
}
}
```
</details>
<details>
<summary>Using pip installation</summary>
```json
"mcpServers": {
"git": {
"command": "python",
"args": ["-m", "mcp_server_git", "--repository", "path/to/git/repo"]
}
}
```
</details>
### Usage with [Zed](https://github.com/zed-industries/zed)
Add to your Zed settings.json:
<details>
<summary>Using uvx</summary>
```json
"context_servers": [
"mcp-server-git": {
"command": {
"path": "uvx",
"args": ["mcp-server-git"]
}
}
],
```
</details>
<details>
<summary>Using pip installation</summary>
```json
"context_servers": {
"mcp-server-git": {
"command": {
"path": "python",
"args": ["-m", "mcp_server_git"]
}
}
},
```
</details>
## Debugging
You can use the MCP inspector to debug the server. For uvx installations:
```
npx @modelcontextprotocol/inspector uvx mcp-server-git
```
Or if you've installed the package in a specific directory or are developing on it:
```
cd path/to/servers/src/git
npx @modelcontextprotocol/inspector uv run mcp-server-git
```
Running `tail -n 20 -f ~/Library/Logs/Claude/mcp*.log` will show the logs from the server and may
help you debug any issues.
## Development
If you are doing local development, there are two ways to test your changes:
1. Run the MCP inspector to test your changes. See [Debugging](#debugging) for run instructions.
2. Test using the Claude desktop app. Add the following to your `claude_desktop_config.json`:
### Docker
```json
{
"mcpServers": {
"git": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"--mount", "type=bind,src=/Users/username/Desktop,dst=/projects/Desktop",
"--mount", "type=bind,src=/path/to/other/allowed/dir,dst=/projects/other/allowed/dir,ro",
"--mount", "type=bind,src=/path/to/file.txt,dst=/projects/path/to/file.txt",
"mcp/git"
]
}
}
}
```
### UVX
```json
{
"mcpServers": {
"git": {
"command": "uv",
"args": [
"--directory",
"/<path to mcp-servers>/mcp-servers/src/git",
"run",
"mcp-server-git"
]
}
}
```
## Build
Docker build:
```bash
cd src/git
docker build -t mcp/git .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
<file path="src/git/uv.lock">
version = 1
requires-python = ">=3.10"
[[package]]
name = "annotated-types"
version = "0.7.0"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081 }
wheels = [
{ url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643 },
]
[[package]]
name = "anyio"
version = "4.6.2.post1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "exceptiongroup", marker = "python_full_version < '3.11'" },
{ name = "idna" },
{ name = "sniffio" },
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
]
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<file path="src/github/common/errors.ts">
export class GitHubError extends Error
⋮----
constructor(
message: string,
public readonly status: number,
public readonly response: unknown
)
⋮----
export class GitHubValidationError extends GitHubError
⋮----
constructor(message: string, status: number, response: unknown)
⋮----
export class GitHubResourceNotFoundError extends GitHubError
⋮----
constructor(resource: string)
⋮----
export class GitHubAuthenticationError extends GitHubError
⋮----
constructor(message = "Authentication failed")
⋮----
export class GitHubPermissionError extends GitHubError
⋮----
constructor(message = "Insufficient permissions")
⋮----
export class GitHubRateLimitError extends GitHubError
⋮----
constructor(
message = "Rate limit exceeded",
public readonly resetAt: Date
)
⋮----
export class GitHubConflictError extends GitHubError
⋮----
constructor(message: string)
⋮----
export function isGitHubError(error: unknown): error is GitHubError
⋮----
export function createGitHubError(status: number, response: any): GitHubError
</file>
<file path="src/github/common/types.ts">
import { z } from "zod";
⋮----
// Base schemas for common types
⋮----
// User and assignee schemas
⋮----
// Issue-related schemas
⋮----
// Search-related schemas
⋮----
// Pull request schemas
⋮----
// Export types
export type GitHubAuthor = z.infer<typeof GitHubAuthorSchema>;
export type GitHubRepository = z.infer<typeof GitHubRepositorySchema>;
export type GitHubFileContent = z.infer<typeof GitHubFileContentSchema>;
export type GitHubDirectoryContent = z.infer<typeof GitHubDirectoryContentSchema>;
export type GitHubContent = z.infer<typeof GitHubContentSchema>;
export type GitHubTree = z.infer<typeof GitHubTreeSchema>;
export type GitHubCommit = z.infer<typeof GitHubCommitSchema>;
export type GitHubListCommits = z.infer<typeof GitHubListCommitsSchema>;
export type GitHubReference = z.infer<typeof GitHubReferenceSchema>;
export type GitHubIssueAssignee = z.infer<typeof GitHubIssueAssigneeSchema>;
export type GitHubLabel = z.infer<typeof GitHubLabelSchema>;
export type GitHubMilestone = z.infer<typeof GitHubMilestoneSchema>;
export type GitHubIssue = z.infer<typeof GitHubIssueSchema>;
export type GitHubSearchResponse = z.infer<typeof GitHubSearchResponseSchema>;
export type GitHubPullRequest = z.infer<typeof GitHubPullRequestSchema>;
export type GitHubPullRequestRef = z.infer<typeof GitHubPullRequestRefSchema>;
</file>
<file path="src/github/common/utils.ts">
import { getUserAgent } from "universal-user-agent";
import { createGitHubError } from "./errors.js";
import { VERSION } from "./version.js";
⋮----
type RequestOptions = {
method?: string;
body?: unknown;
headers?: Record<string, string>;
}
⋮----
async function parseResponseBody(response: Response): Promise<unknown>
⋮----
export function buildUrl(baseUrl: string, params: Record<string, string | number | undefined>): string
⋮----
export async function githubRequest(
url: string,
options: RequestOptions = {}
): Promise<unknown>
⋮----
export function validateBranchName(branch: string): string
⋮----
export function validateRepositoryName(name: string): string
⋮----
export function validateOwnerName(owner: string): string
⋮----
export async function checkBranchExists(
owner: string,
repo: string,
branch: string
): Promise<boolean>
⋮----
export async function checkUserExists(username: string): Promise<boolean>
</file>
<file path="src/github/common/version.ts">
// If the format of this file changes, so it doesn't simply export a VERSION constant,
// this will break .github/workflows/version-check.yml.
</file>
<file path="src/github/operations/branches.ts">
import { z } from "zod";
import { githubRequest } from "../common/utils.js";
import { GitHubReferenceSchema } from "../common/types.js";
⋮----
// Schema definitions
⋮----
// Type exports
export type CreateBranchOptions = z.infer<typeof CreateBranchOptionsSchema>;
⋮----
// Function implementations
export async function getDefaultBranchSHA(owner: string, repo: string): Promise<string>
⋮----
export async function createBranch(
owner: string,
repo: string,
options: CreateBranchOptions
): Promise<z.infer<typeof GitHubReferenceSchema>>
⋮----
export async function getBranchSHA(
owner: string,
repo: string,
branch: string
): Promise<string>
⋮----
export async function createBranchFromRef(
owner: string,
repo: string,
newBranch: string,
fromBranch?: string
): Promise<z.infer<typeof GitHubReferenceSchema>>
⋮----
export async function updateBranch(
owner: string,
repo: string,
branch: string,
sha: string
): Promise<z.infer<typeof GitHubReferenceSchema>>
</file>
<file path="src/github/operations/commits.ts">
import { z } from "zod";
import { githubRequest, buildUrl } from "../common/utils.js";
⋮----
export async function listCommits(
owner: string,
repo: string,
page?: number,
perPage?: number,
sha?: string
)
</file>
<file path="src/github/operations/files.ts">
import { z } from "zod";
import { githubRequest } from "../common/utils.js";
import {
GitHubContentSchema,
GitHubAuthorSchema,
GitHubTreeSchema,
GitHubCommitSchema,
GitHubReferenceSchema,
GitHubFileContentSchema,
} from "../common/types.js";
⋮----
// Schema definitions
⋮----
// Type exports
export type FileOperation = z.infer<typeof FileOperationSchema>;
export type GitHubCreateUpdateFileResponse = z.infer<typeof GitHubCreateUpdateFileResponseSchema>;
⋮----
// Function implementations
export async function getFileContents(
owner: string,
repo: string,
path: string,
branch?: string
)
⋮----
// If it's a file, decode the content
⋮----
export async function createOrUpdateFile(
owner: string,
repo: string,
path: string,
content: string,
message: string,
branch: string,
sha?: string
)
⋮----
async function createTree(
owner: string,
repo: string,
files: FileOperation[],
baseTree?: string
)
⋮----
async function createCommit(
owner: string,
repo: string,
message: string,
tree: string,
parents: string[]
)
⋮----
async function updateReference(
owner: string,
repo: string,
ref: string,
sha: string
)
⋮----
export async function pushFiles(
owner: string,
repo: string,
branch: string,
files: FileOperation[],
message: string
)
</file>
<file path="src/github/operations/issues.ts">
import { z } from "zod";
import { githubRequest, buildUrl } from "../common/utils.js";
⋮----
export async function getIssue(owner: string, repo: string, issue_number: number)
⋮----
export async function addIssueComment(
owner: string,
repo: string,
issue_number: number,
body: string
)
⋮----
export async function createIssue(
owner: string,
repo: string,
options: z.infer<typeof CreateIssueOptionsSchema>
)
⋮----
export async function listIssues(
owner: string,
repo: string,
options: Omit<z.infer<typeof ListIssuesOptionsSchema>, "owner" | "repo">
)
⋮----
export async function updateIssue(
owner: string,
repo: string,
issue_number: number,
options: Omit<z.infer<typeof UpdateIssueOptionsSchema>, "owner" | "repo" | "issue_number">
)
</file>
<file path="src/github/operations/pulls.ts">
import { z } from "zod";
import { githubRequest } from "../common/utils.js";
import {
GitHubPullRequestSchema,
GitHubIssueAssigneeSchema,
GitHubRepositorySchema,
} from "../common/types.js";
⋮----
// Schema definitions
⋮----
// Input schemas
⋮----
// Function implementations
export async function createPullRequest(
params: z.infer<typeof CreatePullRequestSchema>
): Promise<z.infer<typeof GitHubPullRequestSchema>>
⋮----
export async function getPullRequest(
owner: string,
repo: string,
pullNumber: number
): Promise<z.infer<typeof GitHubPullRequestSchema>>
⋮----
export async function listPullRequests(
owner: string,
repo: string,
options: Omit<z.infer<typeof ListPullRequestsSchema>, 'owner' | 'repo'>
): Promise<z.infer<typeof GitHubPullRequestSchema>[]>
⋮----
export async function createPullRequestReview(
owner: string,
repo: string,
pullNumber: number,
options: Omit<z.infer<typeof CreatePullRequestReviewSchema>, 'owner' | 'repo' | 'pull_number'>
): Promise<z.infer<typeof PullRequestReviewSchema>>
⋮----
export async function mergePullRequest(
owner: string,
repo: string,
pullNumber: number,
options: Omit<z.infer<typeof MergePullRequestSchema>, 'owner' | 'repo' | 'pull_number'>
): Promise<any>
⋮----
export async function getPullRequestFiles(
owner: string,
repo: string,
pullNumber: number
): Promise<z.infer<typeof PullRequestFileSchema>[]>
⋮----
export async function updatePullRequestBranch(
owner: string,
repo: string,
pullNumber: number,
expectedHeadSha?: string
): Promise<void>
⋮----
export async function getPullRequestComments(
owner: string,
repo: string,
pullNumber: number
): Promise<z.infer<typeof PullRequestCommentSchema>[]>
⋮----
export async function getPullRequestReviews(
owner: string,
repo: string,
pullNumber: number
): Promise<z.infer<typeof PullRequestReviewSchema>[]>
⋮----
export async function getPullRequestStatus(
owner: string,
repo: string,
pullNumber: number
): Promise<z.infer<typeof CombinedStatusSchema>>
⋮----
// First get the PR to get the head SHA
⋮----
// Then get the combined status for that SHA
</file>
<file path="src/github/operations/repository.ts">
import { z } from "zod";
import { githubRequest } from "../common/utils.js";
import { GitHubRepositorySchema, GitHubSearchResponseSchema } from "../common/types.js";
⋮----
// Schema definitions
⋮----
// Type exports
export type CreateRepositoryOptions = z.infer<typeof CreateRepositoryOptionsSchema>;
⋮----
// Function implementations
export async function createRepository(options: CreateRepositoryOptions)
⋮----
export async function searchRepositories(
query: string,
page: number = 1,
perPage: number = 30
)
⋮----
export async function forkRepository(
owner: string,
repo: string,
organization?: string
)
</file>
<file path="src/github/operations/search.ts">
import { z } from "zod";
import { githubRequest, buildUrl } from "../common/utils.js";
⋮----
export async function searchCode(params: z.infer<typeof SearchCodeSchema>)
⋮----
export async function searchIssues(params: z.infer<typeof SearchIssuesSchema>)
⋮----
export async function searchUsers(params: z.infer<typeof SearchUsersSchema>)
</file>
<file path="src/github/Dockerfile">
FROM node:22.12-alpine AS builder
# Must be entire project because `prepare` script is run during `npm install` and requires all files.
COPY src/github /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
FROM node:22.12-alpine AS release
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
WORKDIR /app
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]
</file>
<file path="src/github/index.ts">
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import { z } from 'zod';
import { zodToJsonSchema } from 'zod-to-json-schema';
⋮----
import {
GitHubError,
GitHubValidationError,
GitHubResourceNotFoundError,
GitHubAuthenticationError,
GitHubPermissionError,
GitHubRateLimitError,
GitHubConflictError,
isGitHubError,
} from './common/errors.js';
import { VERSION } from "./common/version.js";
⋮----
function formatGitHubError(error: GitHubError): string
⋮----
async function runServer()
</file>
<file path="src/github/package.json">
{
"name": "@modelcontextprotocol/server-github",
"version": "0.6.2",
"description": "MCP server for using the GitHub API",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-github": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1",
"@types/node": "^22",
"@types/node-fetch": "^2.6.12",
"node-fetch": "^3.3.2",
"universal-user-agent": "^7.0.2",
"zod": "^3.22.4",
"zod-to-json-schema": "^3.23.5"
},
"devDependencies": {
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
</file>
<file path="src/github/README.md">
# GitHub MCP Server
MCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.
### Features
- **Automatic Branch Creation**: When creating/updating files or pushing changes, branches are automatically created if they don't exist
- **Comprehensive Error Handling**: Clear error messages for common issues
- **Git History Preservation**: Operations maintain proper Git history without force pushing
- **Batch Operations**: Support for both single-file and multi-file operations
- **Advanced Search**: Support for searching code, issues/PRs, and users
## Tools
1. `create_or_update_file`
- Create or update a single file in a repository
- Inputs:
- `owner` (string): Repository owner (username or organization)
- `repo` (string): Repository name
- `path` (string): Path where to create/update the file
- `content` (string): Content of the file
- `message` (string): Commit message
- `branch` (string): Branch to create/update the file in
- `sha` (optional string): SHA of file being replaced (for updates)
- Returns: File content and commit details
2. `push_files`
- Push multiple files in a single commit
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `branch` (string): Branch to push to
- `files` (array): Files to push, each with `path` and `content`
- `message` (string): Commit message
- Returns: Updated branch reference
3. `search_repositories`
- Search for GitHub repositories
- Inputs:
- `query` (string): Search query
- `page` (optional number): Page number for pagination
- `perPage` (optional number): Results per page (max 100)
- Returns: Repository search results
4. `create_repository`
- Create a new GitHub repository
- Inputs:
- `name` (string): Repository name
- `description` (optional string): Repository description
- `private` (optional boolean): Whether repo should be private
- `autoInit` (optional boolean): Initialize with README
- Returns: Created repository details
5. `get_file_contents`
- Get contents of a file or directory
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `path` (string): Path to file/directory
- `branch` (optional string): Branch to get contents from
- Returns: File/directory contents
6. `create_issue`
- Create a new issue
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `title` (string): Issue title
- `body` (optional string): Issue description
- `assignees` (optional string[]): Usernames to assign
- `labels` (optional string[]): Labels to add
- `milestone` (optional number): Milestone number
- Returns: Created issue details
7. `create_pull_request`
- Create a new pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `title` (string): PR title
- `body` (optional string): PR description
- `head` (string): Branch containing changes
- `base` (string): Branch to merge into
- `draft` (optional boolean): Create as draft PR
- `maintainer_can_modify` (optional boolean): Allow maintainer edits
- Returns: Created pull request details
8. `fork_repository`
- Fork a repository
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `organization` (optional string): Organization to fork to
- Returns: Forked repository details
9. `create_branch`
- Create a new branch
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `branch` (string): Name for new branch
- `from_branch` (optional string): Source branch (defaults to repo default)
- Returns: Created branch reference
10. `list_issues`
- List and filter repository issues
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `state` (optional string): Filter by state ('open', 'closed', 'all')
- `labels` (optional string[]): Filter by labels
- `sort` (optional string): Sort by ('created', 'updated', 'comments')
- `direction` (optional string): Sort direction ('asc', 'desc')
- `since` (optional string): Filter by date (ISO 8601 timestamp)
- `page` (optional number): Page number
- `per_page` (optional number): Results per page
- Returns: Array of issue details
11. `update_issue`
- Update an existing issue
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `issue_number` (number): Issue number to update
- `title` (optional string): New title
- `body` (optional string): New description
- `state` (optional string): New state ('open' or 'closed')
- `labels` (optional string[]): New labels
- `assignees` (optional string[]): New assignees
- `milestone` (optional number): New milestone number
- Returns: Updated issue details
12. `add_issue_comment`
- Add a comment to an issue
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `issue_number` (number): Issue number to comment on
- `body` (string): Comment text
- Returns: Created comment details
13. `search_code`
- Search for code across GitHub repositories
- Inputs:
- `q` (string): Search query using GitHub code search syntax
- `sort` (optional string): Sort field ('indexed' only)
- `order` (optional string): Sort order ('asc' or 'desc')
- `per_page` (optional number): Results per page (max 100)
- `page` (optional number): Page number
- Returns: Code search results with repository context
14. `search_issues`
- Search for issues and pull requests
- Inputs:
- `q` (string): Search query using GitHub issues search syntax
- `sort` (optional string): Sort field (comments, reactions, created, etc.)
- `order` (optional string): Sort order ('asc' or 'desc')
- `per_page` (optional number): Results per page (max 100)
- `page` (optional number): Page number
- Returns: Issue and pull request search results
15. `search_users`
- Search for GitHub users
- Inputs:
- `q` (string): Search query using GitHub users search syntax
- `sort` (optional string): Sort field (followers, repositories, joined)
- `order` (optional string): Sort order ('asc' or 'desc')
- `per_page` (optional number): Results per page (max 100)
- `page` (optional number): Page number
- Returns: User search results
16. `list_commits`
- Gets commits of a branch in a repository
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `page` (optional string): page number
- `per_page` (optional string): number of record per page
- `sha` (optional string): branch name
- Returns: List of commits
17. `get_issue`
- Gets the contents of an issue within a repository
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `issue_number` (number): Issue number to retrieve
- Returns: Github Issue object & details
18. `get_pull_request`
- Get details of a specific pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- Returns: Pull request details including diff and review status
19. `list_pull_requests`
- List and filter repository pull requests
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `state` (optional string): Filter by state ('open', 'closed', 'all')
- `head` (optional string): Filter by head user/org and branch
- `base` (optional string): Filter by base branch
- `sort` (optional string): Sort by ('created', 'updated', 'popularity', 'long-running')
- `direction` (optional string): Sort direction ('asc', 'desc')
- `per_page` (optional number): Results per page (max 100)
- `page` (optional number): Page number
- Returns: Array of pull request details
20. `create_pull_request_review`
- Create a review on a pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- `body` (string): Review comment text
- `event` (string): Review action ('APPROVE', 'REQUEST_CHANGES', 'COMMENT')
- `commit_id` (optional string): SHA of commit to review
- `comments` (optional array): Line-specific comments, each with:
- `path` (string): File path
- `position` (number): Line position in diff
- `body` (string): Comment text
- Returns: Created review details
21. `merge_pull_request`
- Merge a pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- `commit_title` (optional string): Title for merge commit
- `commit_message` (optional string): Extra detail for merge commit
- `merge_method` (optional string): Merge method ('merge', 'squash', 'rebase')
- Returns: Merge result details
22. `get_pull_request_files`
- Get the list of files changed in a pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- Returns: Array of changed files with patch and status details
23. `get_pull_request_status`
- Get the combined status of all status checks for a pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- Returns: Combined status check results and individual check details
24. `update_pull_request_branch`
- Update a pull request branch with the latest changes from the base branch (equivalent to GitHub's "Update branch" button)
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- `expected_head_sha` (optional string): The expected SHA of the pull request's HEAD ref
- Returns: Success message when branch is updated
25. `get_pull_request_comments`
- Get the review comments on a pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- Returns: Array of pull request review comments with details like the comment text, author, and location in the diff
26. `get_pull_request_reviews`
- Get the reviews on a pull request
- Inputs:
- `owner` (string): Repository owner
- `repo` (string): Repository name
- `pull_number` (number): Pull request number
- Returns: Array of pull request reviews with details like the review state (APPROVED, CHANGES_REQUESTED, etc.), reviewer, and review body
## Search Query Syntax
### Code Search
- `language:javascript`: Search by programming language
- `repo:owner/name`: Search in specific repository
- `path:app/src`: Search in specific path
- `extension:js`: Search by file extension
- Example: `q: "import express" language:typescript path:src/`
### Issues Search
- `is:issue` or `is:pr`: Filter by type
- `is:open` or `is:closed`: Filter by state
- `label:bug`: Search by label
- `author:username`: Search by author
- Example: `q: "memory leak" is:issue is:open label:bug`
### Users Search
- `type:user` or `type:org`: Filter by account type
- `followers:>1000`: Filter by followers
- `location:London`: Search by location
- Example: `q: "fullstack developer" location:London followers:>100`
For detailed search syntax, see [GitHub's searching documentation](https://docs.github.com/en/search-github/searching-on-github).
## Setup
### Personal Access Token
[Create a GitHub Personal Access Token](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens) with appropriate permissions:
- Go to [Personal access tokens](https://github.com/settings/tokens) (in GitHub Settings > Developer settings)
- Select which repositories you'd like this token to have access to (Public, All, or Select)
- Create a token with the `repo` scope ("Full control of private repositories")
- Alternatively, if working only with public repositories, select only the `public_repo` scope
- Copy the generated token
### Usage with Claude Desktop
To use this with Claude Desktop, add the following to your `claude_desktop_config.json`:
#### Docker
```json
{
"mcpServers": {
"github": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GITHUB_PERSONAL_ACCESS_TOKEN",
"mcp/github"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
}
}
}
}
```
### NPX
```json
{
"mcpServers": {
"github": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-github"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
}
}
}
}
```
## Build
Docker build:
```bash
docker build -t mcp/github -f src/github/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
<file path="src/github/tsconfig.json">
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}
</file>
<file path="src/gitlab/Dockerfile">
FROM node:22.12-alpine AS builder
COPY src/gitlab /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev
FROM node:22.12-alpine AS release
WORKDIR /app
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]
</file>
<file path="src/gitlab/index.ts">
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import fetch from "node-fetch";
import { z } from 'zod';
import { zodToJsonSchema } from 'zod-to-json-schema';
import {
GitLabForkSchema,
GitLabReferenceSchema,
GitLabRepositorySchema,
GitLabIssueSchema,
GitLabMergeRequestSchema,
GitLabContentSchema,
GitLabCreateUpdateFileResponseSchema,
GitLabSearchResponseSchema,
GitLabTreeSchema,
GitLabCommitSchema,
CreateRepositoryOptionsSchema,
CreateIssueOptionsSchema,
CreateMergeRequestOptionsSchema,
CreateBranchOptionsSchema,
CreateOrUpdateFileSchema,
SearchRepositoriesSchema,
CreateRepositorySchema,
GetFileContentsSchema,
PushFilesSchema,
CreateIssueSchema,
CreateMergeRequestSchema,
ForkRepositorySchema,
CreateBranchSchema,
type GitLabFork,
type GitLabReference,
type GitLabRepository,
type GitLabIssue,
type GitLabMergeRequest,
type GitLabContent,
type GitLabCreateUpdateFileResponse,
type GitLabSearchResponse,
type GitLabTree,
type GitLabCommit,
type FileOperation,
} from './schemas.js';
⋮----
async function forkProject(
projectId: string,
namespace?: string
): Promise<GitLabFork>
⋮----
async function createBranch(
projectId: string,
options: z.infer<typeof CreateBranchOptionsSchema>
): Promise<GitLabReference>
⋮----
async function getDefaultBranchRef(projectId: string): Promise<string>
⋮----
async function getFileContents(
projectId: string,
filePath: string,
ref?: string
): Promise<GitLabContent>
⋮----
async function createIssue(
projectId: string,
options: z.infer<typeof CreateIssueOptionsSchema>
): Promise<GitLabIssue>
⋮----
async function createMergeRequest(
projectId: string,
options: z.infer<typeof CreateMergeRequestOptionsSchema>
): Promise<GitLabMergeRequest>
⋮----
async function createOrUpdateFile(
projectId: string,
filePath: string,
content: string,
commitMessage: string,
branch: string,
previousPath?: string
): Promise<GitLabCreateUpdateFileResponse>
⋮----
// Check if file exists
⋮----
// File doesn't exist, use POST
⋮----
async function createTree(
projectId: string,
files: FileOperation[],
ref?: string
): Promise<GitLabTree>
⋮----
async function createCommit(
projectId: string,
message: string,
branch: string,
actions: FileOperation[]
): Promise<GitLabCommit>
⋮----
async function searchProjects(
query: string,
page: number = 1,
perPage: number = 20
): Promise<GitLabSearchResponse>
⋮----
async function createRepository(
options: z.infer<typeof CreateRepositoryOptionsSchema>
): Promise<GitLabRepository>
⋮----
async function runServer()
</file>
<file path="src/gitlab/package.json">
{
"name": "@modelcontextprotocol/server-gitlab",
"version": "0.6.2",
"description": "MCP server for using the GitLab API",
"license": "MIT",
"author": "GitLab, PBC (https://gitlab.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-gitlab": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1",
"@types/node-fetch": "^2.6.12",
"node-fetch": "^3.3.2",
"zod-to-json-schema": "^3.23.5"
},
"devDependencies": {
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
</file>
<file path="src/gitlab/README.md">
# GitLab MCP Server
MCP Server for the GitLab API, enabling project management, file operations, and more.
### Features
- **Automatic Branch Creation**: When creating/updating files or pushing changes, branches are automatically created if they don't exist
- **Comprehensive Error Handling**: Clear error messages for common issues
- **Git History Preservation**: Operations maintain proper Git history without force pushing
- **Batch Operations**: Support for both single-file and multi-file operations
## Tools
1. `create_or_update_file`
- Create or update a single file in a project
- Inputs:
- `project_id` (string): Project ID or URL-encoded path
- `file_path` (string): Path where to create/update the file
- `content` (string): Content of the file
- `commit_message` (string): Commit message
- `branch` (string): Branch to create/update the file in
- `previous_path` (optional string): Path of the file to move/rename
- Returns: File content and commit details
2. `push_files`
- Push multiple files in a single commit
- Inputs:
- `project_id` (string): Project ID or URL-encoded path
- `branch` (string): Branch to push to
- `files` (array): Files to push, each with `file_path` and `content`
- `commit_message` (string): Commit message
- Returns: Updated branch reference
3. `search_repositories`
- Search for GitLab projects
- Inputs:
- `search` (string): Search query
- `page` (optional number): Page number for pagination
- `per_page` (optional number): Results per page (default 20)
- Returns: Project search results
4. `create_repository`
- Create a new GitLab project
- Inputs:
- `name` (string): Project name
- `description` (optional string): Project description
- `visibility` (optional string): 'private', 'internal', or 'public'
- `initialize_with_readme` (optional boolean): Initialize with README
- Returns: Created project details
5. `get_file_contents`
- Get contents of a file or directory
- Inputs:
- `project_id` (string): Project ID or URL-encoded path
- `file_path` (string): Path to file/directory
- `ref` (optional string): Branch/tag/commit to get contents from
- Returns: File/directory contents
6. `create_issue`
- Create a new issue
- Inputs:
- `project_id` (string): Project ID or URL-encoded path
- `title` (string): Issue title
- `description` (optional string): Issue description
- `assignee_ids` (optional number[]): User IDs to assign
- `labels` (optional string[]): Labels to add
- `milestone_id` (optional number): Milestone ID
- Returns: Created issue details
7. `create_merge_request`
- Create a new merge request
- Inputs:
- `project_id` (string): Project ID or URL-encoded path
- `title` (string): MR title
- `description` (optional string): MR description
- `source_branch` (string): Branch containing changes
- `target_branch` (string): Branch to merge into
- `draft` (optional boolean): Create as draft MR
- `allow_collaboration` (optional boolean): Allow commits from upstream members
- Returns: Created merge request details
8. `fork_repository`
- Fork a project
- Inputs:
- `project_id` (string): Project ID or URL-encoded path
- `namespace` (optional string): Namespace to fork to
- Returns: Forked project details
9. `create_branch`
- Create a new branch
- Inputs:
- `project_id` (string): Project ID or URL-encoded path
- `branch` (string): Name for new branch
- `ref` (optional string): Source branch/commit for new branch
- Returns: Created branch reference
## Setup
### Personal Access Token
[Create a GitLab Personal Access Token](https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html) with appropriate permissions:
- Go to User Settings > Access Tokens in GitLab
- Select the required scopes:
- `api` for full API access
- `read_api` for read-only access
- `read_repository` and `write_repository` for repository operations
- Create the token and save it securely
### Usage with Claude Desktop
Add the following to your `claude_desktop_config.json`:
#### Docker
```json
{
"mcpServers": {
"gitlab": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e",
"GITLAB_PERSONAL_ACCESS_TOKEN",
"-e",
"GITLAB_API_URL",
"mcp/gitlab"
],
"env": {
"GITLAB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>",
"GITLAB_API_URL": "https://gitlab.com/api/v4" // Optional, for self-hosted instances
}
}
}
}
```
### NPX
```json
{
"mcpServers": {
"gitlab": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-gitlab"
],
"env": {
"GITLAB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>",
"GITLAB_API_URL": "https://gitlab.com/api/v4" // Optional, for self-hosted instances
}
}
}
}
```
## Build
Docker build:
```bash
docker build -t vonwig/gitlab:mcp -f src/gitlab/Dockerfile .
```
## Environment Variables
- `GITLAB_PERSONAL_ACCESS_TOKEN`: Your GitLab personal access token (required)
- `GITLAB_API_URL`: Base URL for GitLab API (optional, defaults to `https://gitlab.com/api/v4`)
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
<file path="src/gitlab/schemas.ts">
import { z } from 'zod';
⋮----
// Base schemas for common types
⋮----
// Repository related schemas
⋮----
username: z.string(), // Changed from login to match GitLab API
⋮----
web_url: z.string(), // Changed from html_url to match GitLab API
name: z.string(), // Added as GitLab includes full name
state: z.string() // Added as GitLab includes user state
⋮----
path_with_namespace: z.string(), // Changed from full_name to match GitLab API
visibility: z.string(), // Changed from private to match GitLab API
⋮----
web_url: z.string(), // Changed from html_url to match GitLab API
⋮----
ssh_url_to_repo: z.string(), // Changed from ssh_url to match GitLab API
http_url_to_repo: z.string(), // Changed from clone_url to match GitLab API
⋮----
last_activity_at: z.string(), // Changed from updated_at to match GitLab API
⋮----
// File content schemas
⋮----
file_name: z.string(), // Changed from name to match GitLab API
file_path: z.string(), // Changed from path to match GitLab API
⋮----
content_sha256: z.string(), // Changed from sha to match GitLab API
ref: z.string(), // Added as GitLab requires branch reference
blob_id: z.string(), // Added to match GitLab API
last_commit_id: z.string() // Added to match GitLab API
⋮----
id: z.string(), // Changed from sha to match GitLab API
web_url: z.string() // Changed from html_url to match GitLab API
⋮----
// Operation schemas
⋮----
// Tree and commit schemas
⋮----
id: z.string(), // Changed from sha to match GitLab API
⋮----
id: z.string(), // Changed from sha to match GitLab API
⋮----
id: z.string(), // Changed from sha to match GitLab API
short_id: z.string(), // Added to match GitLab API
title: z.string(), // Changed from message to match GitLab API
⋮----
web_url: z.string(), // Changed from html_url to match GitLab API
parent_ids: z.array(z.string()) // Changed from parents to match GitLab API
⋮----
// Reference schema
⋮----
name: z.string(), // Changed from ref to match GitLab API
⋮----
id: z.string(), // Changed from sha to match GitLab API
web_url: z.string() // Changed from url to match GitLab API
⋮----
// Input schemas for operations
⋮----
visibility: z.enum(['private', 'internal', 'public']).optional(), // Changed from private to match GitLab API
initialize_with_readme: z.boolean().optional() // Changed from auto_init to match GitLab API
⋮----
description: z.string().optional(), // Changed from body to match GitLab API
assignee_ids: z.array(z.number()).optional(), // Changed from assignees to match GitLab API
milestone_id: z.number().optional(), // Changed from milestone to match GitLab API
⋮----
export const CreateMergeRequestOptionsSchema = z.object({ // Changed from CreatePullRequestOptionsSchema
⋮----
description: z.string().optional(), // Changed from body to match GitLab API
source_branch: z.string(), // Changed from head to match GitLab API
target_branch: z.string(), // Changed from base to match GitLab API
allow_collaboration: z.boolean().optional(), // Changed from maintainer_can_modify to match GitLab API
⋮----
name: z.string(), // Changed from ref to match GitLab API
ref: z.string() // The source branch/commit for the new branch
⋮----
// Response schemas for operations
⋮----
commit_id: z.string(), // Changed from sha to match GitLab API
⋮----
count: z.number(), // Changed from total_count to match GitLab API
⋮----
// Fork related schemas
⋮----
path_with_namespace: z.string(), // Changed from full_name to match GitLab API
⋮----
username: z.string(), // Changed from login to match GitLab API
⋮----
web_url: z.string() // Changed from html_url to match GitLab API
⋮----
forked_from_project: GitLabForkParentSchema // Changed from parent to match GitLab API
⋮----
// Issue related schemas
⋮----
username: z.string(), // Changed from login to match GitLab API
⋮----
web_url: z.string() // Changed from html_url to match GitLab API
⋮----
iid: z.number(), // Added to match GitLab API
⋮----
web_url: z.string() // Changed from html_url to match GitLab API
⋮----
iid: z.number(), // Added to match GitLab API
project_id: z.number(), // Added to match GitLab API
⋮----
description: z.string(), // Changed from body to match GitLab API
⋮----
web_url: z.string() // Changed from html_url to match GitLab API
⋮----
// Merge Request related schemas (equivalent to Pull Request)
⋮----
iid: z.number(), // Added to match GitLab API
project_id: z.number(), // Added to match GitLab API
⋮----
description: z.string(), // Changed from body to match GitLab API
⋮----
source_branch: z.string(), // Changed from head to match GitLab API
target_branch: z.string(), // Changed from base to match GitLab API
⋮----
web_url: z.string(), // Changed from html_url to match GitLab API
⋮----
// API Operation Parameter Schemas
⋮----
project_id: z.string().describe("Project ID or URL-encoded path") // Changed from owner/repo to match GitLab API
⋮----
search: z.string().describe("Search query"), // Changed from query to match GitLab API
⋮----
// Export types
export type GitLabAuthor = z.infer<typeof GitLabAuthorSchema>;
export type GitLabFork = z.infer<typeof GitLabForkSchema>;
export type GitLabIssue = z.infer<typeof GitLabIssueSchema>;
export type GitLabMergeRequest = z.infer<typeof GitLabMergeRequestSchema>;
export type GitLabRepository = z.infer<typeof GitLabRepositorySchema>;
export type GitLabFileContent = z.infer<typeof GitLabFileContentSchema>;
export type GitLabDirectoryContent = z.infer<typeof GitLabDirectoryContentSchema>;
export type GitLabContent = z.infer<typeof GitLabContentSchema>;
export type FileOperation = z.infer<typeof FileOperationSchema>;
export type GitLabTree = z.infer<typeof GitLabTreeSchema>;
export type GitLabCommit = z.infer<typeof GitLabCommitSchema>;
export type GitLabReference = z.infer<typeof GitLabReferenceSchema>;
export type CreateRepositoryOptions = z.infer<typeof CreateRepositoryOptionsSchema>;
export type CreateIssueOptions = z.infer<typeof CreateIssueOptionsSchema>;
export type CreateMergeRequestOptions = z.infer<typeof CreateMergeRequestOptionsSchema>;
export type CreateBranchOptions = z.infer<typeof CreateBranchOptionsSchema>;
export type GitLabCreateUpdateFileResponse = z.infer<typeof GitLabCreateUpdateFileResponseSchema>;
export type GitLabSearchResponse = z.infer<typeof GitLabSearchResponseSchema>;
</file>
<file path="src/gitlab/tsconfig.json">
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}
</file>
<file path="src/google-maps/Dockerfile">
FROM node:22.12-alpine AS builder
# Must be entire project because `prepare` script is run during `npm install` and requires all files.
COPY src/google-maps /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev
FROM node:22-alpine AS release
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
WORKDIR /app
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]
</file>
<file path="src/google-maps/index.ts">
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
Tool,
} from "@modelcontextprotocol/sdk/types.js";
import fetch from "node-fetch";
⋮----
// Response interfaces
interface GoogleMapsResponse {
status: string;
error_message?: string;
}
⋮----
interface GeocodeResponse extends GoogleMapsResponse {
results: Array<{
place_id: string;
formatted_address: string;
geometry: {
location: {
lat: number;
lng: number;
}
};
address_components: Array<{
long_name: string;
short_name: string;
types: string[];
}>;
}>;
}
⋮----
interface PlacesSearchResponse extends GoogleMapsResponse {
results: Array<{
name: string;
place_id: string;
formatted_address: string;
geometry: {
location: {
lat: number;
lng: number;
}
};
rating?: number;
types: string[];
}>;
}
⋮----
interface PlaceDetailsResponse extends GoogleMapsResponse {
result: {
name: string;
place_id: string;
formatted_address: string;
formatted_phone_number?: string;
website?: string;
rating?: number;
reviews?: Array<{
author_name: string;
rating: number;
text: string;
time: number;
}>;
opening_hours?: {
weekday_text: string[];
open_now: boolean;
};
geometry: {
location: {
lat: number;
lng: number;
}
};
};
}
⋮----
interface DistanceMatrixResponse extends GoogleMapsResponse {
origin_addresses: string[];
destination_addresses: string[];
rows: Array<{
elements: Array<{
status: string;
duration: {
text: string;
value: number;
};
distance: {
text: string;
value: number;
};
}>;
}>;
}
⋮----
interface ElevationResponse extends GoogleMapsResponse {
results: Array<{
elevation: number;
location: {
lat: number;
lng: number;
};
resolution: number;
}>;
}
⋮----
interface DirectionsResponse extends GoogleMapsResponse {
routes: Array<{
summary: string;
legs: Array<{
distance: {
text: string;
value: number;
};
duration: {
text: string;
value: number;
};
steps: Array<{
html_instructions: string;
distance: {
text: string;
value: number;
};
duration: {
text: string;
value: number;
};
travel_mode: string;
}>;
}>;
}>;
}
⋮----
function getApiKey(): string
⋮----
// Tool definitions
⋮----
// API handlers
async function handleGeocode(address: string)
⋮----
async function handleReverseGeocode(latitude: number, longitude: number)
⋮----
async function handlePlaceSearch(
query: string,
location?: { latitude: number; longitude: number },
radius?: number
)
⋮----
async function handlePlaceDetails(place_id: string)
async function handleDistanceMatrix(
origins: string[],
destinations: string[],
mode: "driving" | "walking" | "bicycling" | "transit" = "driving"
)
⋮----
async function handleElevation(locations: Array<
⋮----
async function handleDirections(
origin: string,
destination: string,
mode: "driving" | "walking" | "bicycling" | "transit" = "driving"
)
⋮----
// Server setup
⋮----
// Set up request handlers
⋮----
async function runServer()
</file>
<file path="src/google-maps/package.json">
{
"name": "@modelcontextprotocol/server-google-maps",
"version": "0.6.2",
"description": "MCP server for using the Google Maps API",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-google-maps": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1",
"@types/node-fetch": "^2.6.12",
"node-fetch": "^3.3.2"
},
"devDependencies": {
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
</file>
<file path="src/google-maps/README.md">
# Google Maps MCP Server
MCP Server for the Google Maps API.
## Tools
1. `maps_geocode`
- Convert address to coordinates
- Input: `address` (string)
- Returns: location, formatted_address, place_id
2. `maps_reverse_geocode`
- Convert coordinates to address
- Inputs:
- `latitude` (number)
- `longitude` (number)
- Returns: formatted_address, place_id, address_components
3. `maps_search_places`
- Search for places using text query
- Inputs:
- `query` (string)
- `location` (optional): { latitude: number, longitude: number }
- `radius` (optional): number (meters, max 50000)
- Returns: array of places with names, addresses, locations
4. `maps_place_details`
- Get detailed information about a place
- Input: `place_id` (string)
- Returns: name, address, contact info, ratings, reviews, opening hours
5. `maps_distance_matrix`
- Calculate distances and times between points
- Inputs:
- `origins` (string[])
- `destinations` (string[])
- `mode` (optional): "driving" | "walking" | "bicycling" | "transit"
- Returns: distances and durations matrix
6. `maps_elevation`
- Get elevation data for locations
- Input: `locations` (array of {latitude, longitude})
- Returns: elevation data for each point
7. `maps_directions`
- Get directions between points
- Inputs:
- `origin` (string)
- `destination` (string)
- `mode` (optional): "driving" | "walking" | "bicycling" | "transit"
- Returns: route details with steps, distance, duration
## Setup
### API Key
Get a Google Maps API key by following the instructions [here](https://developers.google.com/maps/documentation/javascript/get-api-key#create-api-keys).
### Usage with Claude Desktop
Add the following to your `claude_desktop_config.json`:
#### Docker
```json
{
"mcpServers": {
"google-maps": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GOOGLE_MAPS_API_KEY",
"mcp/google-maps"
],
"env": {
"GOOGLE_MAPS_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
```
### NPX
```json
{
"mcpServers": {
"google-maps": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-google-maps"
],
"env": {
"GOOGLE_MAPS_API_KEY": "<YOUR_API_KEY>"
}
}
}
}
```
## Build
Docker build:
```bash
docker build -t mcp/google-maps -f src/google-maps/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
<file path="src/google-maps/tsconfig.json">
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}
</file>
<file path="src/memory/Dockerfile">
FROM node:22.12-alpine AS builder
COPY src/memory /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev
FROM node:22-alpine AS release
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
WORKDIR /app
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]
</file>
<file path="src/memory/index.ts">
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import { promises as fs } from 'fs';
import path from 'path';
import { fileURLToPath } from 'url';
⋮----
// Define memory file path using environment variable with fallback
⋮----
// If MEMORY_FILE_PATH is just a filename, put it in the same directory as the script
⋮----
// We are storing our memory using entities, relations, and observations in a graph structure
interface Entity {
name: string;
entityType: string;
observations: string[];
}
⋮----
interface Relation {
from: string;
to: string;
relationType: string;
}
⋮----
interface KnowledgeGraph {
entities: Entity[];
relations: Relation[];
}
⋮----
// The KnowledgeGraphManager class contains all operations to interact with the knowledge graph
class KnowledgeGraphManager
⋮----
private async loadGraph(): Promise<KnowledgeGraph>
⋮----
private async saveGraph(graph: KnowledgeGraph): Promise<void>
⋮----
async createEntities(entities: Entity[]): Promise<Entity[]>
⋮----
async createRelations(relations: Relation[]): Promise<Relation[]>
⋮----
async addObservations(observations:
⋮----
async deleteEntities(entityNames: string[]): Promise<void>
⋮----
async deleteObservations(deletions:
⋮----
async deleteRelations(relations: Relation[]): Promise<void>
⋮----
async readGraph(): Promise<KnowledgeGraph>
⋮----
// Very basic search function
async searchNodes(query: string): Promise<KnowledgeGraph>
⋮----
// Filter entities
⋮----
// Create a Set of filtered entity names for quick lookup
⋮----
// Filter relations to only include those between filtered entities
⋮----
async openNodes(names: string[]): Promise<KnowledgeGraph>
⋮----
// Filter entities
⋮----
// Create a Set of filtered entity names for quick lookup
⋮----
// Filter relations to only include those between filtered entities
⋮----
// The server instance and tools exposed to Claude
⋮----
async function main()
</file>
<file path="src/memory/package.json">
{
"name": "@modelcontextprotocol/server-memory",
"version": "0.6.3",
"description": "MCP server for enabling memory for Claude through a knowledge graph",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-memory": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1"
},
"devDependencies": {
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
</file>
<file path="src/memory/README.md">
# Knowledge Graph Memory Server
A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
## Core Concepts
### Entities
Entities are the primary nodes in the knowledge graph. Each entity has:
- A unique name (identifier)
- An entity type (e.g., "person", "organization", "event")
- A list of observations
Example:
```json
{
"name": "John_Smith",
"entityType": "person",
"observations": ["Speaks fluent Spanish"]
}
```
### Relations
Relations define directed connections between entities. They are always stored in active voice and describe how entities interact or relate to each other.
Example:
```json
{
"from": "John_Smith",
"to": "Anthropic",
"relationType": "works_at"
}
```
### Observations
Observations are discrete pieces of information about an entity. They are:
- Stored as strings
- Attached to specific entities
- Can be added or removed independently
- Should be atomic (one fact per observation)
Example:
```json
{
"entityName": "John_Smith",
"observations": [
"Speaks fluent Spanish",
"Graduated in 2019",
"Prefers morning meetings"
]
}
```
## API
### Tools
- **create_entities**
- Create multiple new entities in the knowledge graph
- Input: `entities` (array of objects)
- Each object contains:
- `name` (string): Entity identifier
- `entityType` (string): Type classification
- `observations` (string[]): Associated observations
- Ignores entities with existing names
- **create_relations**
- Create multiple new relations between entities
- Input: `relations` (array of objects)
- Each object contains:
- `from` (string): Source entity name
- `to` (string): Target entity name
- `relationType` (string): Relationship type in active voice
- Skips duplicate relations
- **add_observations**
- Add new observations to existing entities
- Input: `observations` (array of objects)
- Each object contains:
- `entityName` (string): Target entity
- `contents` (string[]): New observations to add
- Returns added observations per entity
- Fails if entity doesn't exist
- **delete_entities**
- Remove entities and their relations
- Input: `entityNames` (string[])
- Cascading deletion of associated relations
- Silent operation if entity doesn't exist
- **delete_observations**
- Remove specific observations from entities
- Input: `deletions` (array of objects)
- Each object contains:
- `entityName` (string): Target entity
- `observations` (string[]): Observations to remove
- Silent operation if observation doesn't exist
- **delete_relations**
- Remove specific relations from the graph
- Input: `relations` (array of objects)
- Each object contains:
- `from` (string): Source entity name
- `to` (string): Target entity name
- `relationType` (string): Relationship type
- Silent operation if relation doesn't exist
- **read_graph**
- Read the entire knowledge graph
- No input required
- Returns complete graph structure with all entities and relations
- **search_nodes**
- Search for nodes based on query
- Input: `query` (string)
- Searches across:
- Entity names
- Entity types
- Observation content
- Returns matching entities and their relations
- **open_nodes**
- Retrieve specific nodes by name
- Input: `names` (string[])
- Returns:
- Requested entities
- Relations between requested entities
- Silently skips non-existent nodes
# Usage with Claude Desktop
### Setup
Add this to your claude_desktop_config.json:
#### Docker
```json
{
"mcpServers": {
"memory": {
"command": "docker",
"args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
}
}
}
```
#### NPX
```json
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}
```
#### NPX with custom setting
The server can be configured using the following environment variables:
```json
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
],
"env": {
"MEMORY_FILE_PATH": "/path/to/custom/memory.json"
}
}
}
}
```
- `MEMORY_FILE_PATH`: Path to the memory storage JSON file (default: `memory.json` in the server directory)
### System Prompt
The prompt for utilizing memory depends on the use case. Changing the prompt will help the model determine the frequency and types of memories created.
Here is an example prompt for chat personalization. You could use this prompt in the "Custom Instructions" field of a [Claude.ai Project](https://www.anthropic.com/news/projects).
```
Follow these steps for each interaction:
1. User Identification:
- You should assume that you are interacting with default_user
- If you have not identified default_user, proactively try to do so.
2. Memory Retrieval:
- Always begin your chat by saying only "Remembering..." and retrieve all relevant information from your knowledge graph
- Always refer to your knowledge graph as your "memory"
3. Memory
- While conversing with the user, be attentive to any new information that falls into these categories:
a) Basic Identity (age, gender, location, job title, education level, etc.)
b) Behaviors (interests, habits, etc.)
c) Preferences (communication style, preferred language, etc.)
d) Goals (goals, targets, aspirations, etc.)
e) Relationships (personal and professional relationships up to 3 degrees of separation)
4. Memory Update:
- If any new information was gathered during the interaction, update your memory as follows:
a) Create entities for recurring organizations, people, and significant events
b) Connect them to the current entities using relations
b) Store facts about them as observations
```
## Building
Docker:
```sh
docker build -t mcp/memory -f src/memory/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
<file path="src/memory/tsconfig.json">
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}
</file>
<file path="src/postgres/Dockerfile">
FROM node:22.12-alpine AS builder
COPY src/postgres /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev
FROM node:22-alpine AS release
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
WORKDIR /app
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]
</file>
<file path="src/postgres/index.ts">
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListResourcesRequestSchema,
ListToolsRequestSchema,
ReadResourceRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import pg from "pg";
⋮----
async function runServer()
</file>
<file path="src/postgres/package.json">
{
"name": "@modelcontextprotocol/server-postgres",
"version": "0.6.2",
"description": "MCP server for interacting with PostgreSQL databases",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-postgres": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1",
"pg": "^8.13.0"
},
"devDependencies": {
"@types/pg": "^8.11.10",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
</file>
<file path="src/postgres/README.md">
# PostgreSQL
A Model Context Protocol server that provides read-only access to PostgreSQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.
## Components
### Tools
- **query**
- Execute read-only SQL queries against the connected database
- Input: `sql` (string): The SQL query to execute
- All queries are executed within a READ ONLY transaction
### Resources
The server provides schema information for each table in the database:
- **Table Schemas** (`postgres://<host>/<table>/schema`)
- JSON schema information for each table
- Includes column names and data types
- Automatically discovered from database metadata
## Usage with Claude Desktop
To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your `claude_desktop_config.json`:
### Docker
* when running docker on macos, use host.docker.internal if the server is running on the host network (eg localhost)
* username/password can be added to the postgresql url with `postgresql://user:password@host:port/db-name`
```json
{
"mcpServers": {
"postgres": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"mcp/postgres",
"postgresql://host.docker.internal:5432/mydb"]
}
}
}
```
### NPX
```json
{
"mcpServers": {
"postgres": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-postgres",
"postgresql://localhost/mydb"
]
}
}
}
```
Replace `/mydb` with your database name.
## Building
Docker:
```sh
docker build -t mcp/postgres -f src/postgres/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
<file path="src/postgres/tsconfig.json">
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}
</file>
<file path="src/puppeteer/Dockerfile">
FROM node:22-bookworm-slim
ENV DEBIAN_FRONTEND noninteractive
# for arm64 support we need to install chromium provided by debian
# npm ERR! The chromium binary is not available for arm64.
# https://github.com/puppeteer/puppeteer/issues/7740
ENV PUPPETEER_SKIP_CHROMIUM_DOWNLOAD true
ENV PUPPETEER_EXECUTABLE_PATH=/usr/bin/chromium
RUN apt-get update && \
apt-get install -y wget gnupg && \
apt-get install -y fonts-ipafont-gothic fonts-wqy-zenhei fonts-thai-tlwg fonts-kacst fonts-freefont-ttf libxss1 \
libgtk2.0-0 libnss3 libatk-bridge2.0-0 libdrm2 libxkbcommon0 libgbm1 libasound2 && \
apt-get install -y chromium && \
apt-get clean
COPY src/puppeteer /project
COPY tsconfig.json /tsconfig.json
WORKDIR /project
RUN npm install
ENTRYPOINT ["node", "dist/index.js"]
</file>
<file path="src/puppeteer/index.ts">
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListResourcesRequestSchema,
ListToolsRequestSchema,
ReadResourceRequestSchema,
CallToolResult,
TextContent,
ImageContent,
Tool,
} from "@modelcontextprotocol/sdk/types.js";
import puppeteer, { Browser, Page } from "puppeteer";
⋮----
// Define the tools once to avoid repetition
⋮----
// Global state
⋮----
async function ensureBrowser()
⋮----
interface Window {
mcpHelper: {
logs: string[],
originalConsole: Partial<typeof console>,
}
}
⋮----
async function handleToolCall(name: string, args: any): Promise<CallToolResult>
⋮----
// Setup request handlers
⋮----
async function runServer()
</file>
<file path="src/puppeteer/package.json">
{
"name": "@modelcontextprotocol/server-puppeteer",
"version": "0.6.2",
"description": "MCP server for browser automation using Puppeteer",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-puppeteer": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1",
"puppeteer": "^23.4.0"
},
"devDependencies": {
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
</file>
<file path="src/puppeteer/README.md">
# Puppeteer
A Model Context Protocol server that provides browser automation capabilities using Puppeteer. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.
## Components
### Tools
- **puppeteer_navigate**
- Navigate to any URL in the browser
- Input: `url` (string)
- **puppeteer_screenshot**
- Capture screenshots of the entire page or specific elements
- Inputs:
- `name` (string, required): Name for the screenshot
- `selector` (string, optional): CSS selector for element to screenshot
- `width` (number, optional, default: 800): Screenshot width
- `height` (number, optional, default: 600): Screenshot height
- **puppeteer_click**
- Click elements on the page
- Input: `selector` (string): CSS selector for element to click
- **puppeteer_hover**
- Hover elements on the page
- Input: `selector` (string): CSS selector for element to hover
- **puppeteer_fill**
- Fill out input fields
- Inputs:
- `selector` (string): CSS selector for input field
- `value` (string): Value to fill
- **puppeteer_select**
- Select an element with SELECT tag
- Inputs:
- `selector` (string): CSS selector for element to select
- `value` (string): Value to select
- **puppeteer_evaluate**
- Execute JavaScript in the browser console
- Input: `script` (string): JavaScript code to execute
### Resources
The server provides access to two types of resources:
1. **Console Logs** (`console://logs`)
- Browser console output in text format
- Includes all console messages from the browser
2. **Screenshots** (`screenshot://<name>`)
- PNG images of captured screenshots
- Accessible via the screenshot name specified during capture
## Key Features
- Browser automation
- Console log monitoring
- Screenshot capabilities
- JavaScript execution
- Basic web interaction (navigation, clicking, form filling)
## Configuration to use Puppeteer Server
Here's the Claude Desktop configuration to use the Puppeter server:
### Docker
**NOTE** The docker implementation will use headless chromium, where as the NPX version will open a browser window.
```json
{
"mcpServers": {
"puppeteer": {
"command": "docker",
"args": ["run", "-i", "--rm", "--init", "-e", "DOCKER_CONTAINER=true", "mcp/puppeteer"]
}
}
}
```
### NPX
```json
{
"mcpServers": {
"puppeteer": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-puppeteer"]
}
}
}
```
## Build
Docker build:
```bash
docker build -t mcp/puppeteer -f src/puppeteer/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
<file path="src/puppeteer/tsconfig.json">
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}
</file>
<file path="src/redis/src/index.ts">
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
} from "@modelcontextprotocol/sdk/types.js";
import { z } from "zod";
import { createClient } from 'redis';
⋮----
// Get Redis URL from command line args or use default
⋮----
// Define Zod schemas for validation
⋮----
// Create server instance
⋮----
// List available tools
⋮----
// Handle tool execution
⋮----
// Start the server
async function main()
⋮----
// Connect to Redis
</file>
<file path="src/redis/Dockerfile">
FROM node:22.12-alpine as builder
COPY src/redis /app
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
RUN npm run build
FROM node:22-alpine AS release
COPY --from=builder /app/build /app/build
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
WORKDIR /app
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "build/index.js"]
</file>
<file path="src/redis/package.json">
{
"name": "redis",
"version": "1.0.0",
"main": "index.js",
"type": "module",
"bin": {
"redis": "./build/index.js"
},
"scripts": {
"build": "tsc && node -e \"require('fs').chmodSync('build/index.js', '755')\""
},
"files": [
"build"
],
"keywords": [],
"author": "",
"license": "ISC",
"description": "",
"devDependencies": {
"@types/node": "^22.10.2",
"typescript": "^5.7.2"
},
"dependencies": {
"@modelcontextprotocol/sdk": "^0.4.0",
"@types/redis": "^4.0.10",
"redis": "^4.7.0"
}
}
</file>
<file path="src/redis/README.md">
# Redis
A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.
## Components
### Tools
- **set**
- Set a Redis key-value pair with optional expiration
- Input:
- `key` (string): Redis key
- `value` (string): Value to store
- `expireSeconds` (number, optional): Expiration time in seconds
- **get**
- Get value by key from Redis
- Input: `key` (string): Redis key to retrieve
- **delete**
- Delete one or more keys from Redis
- Input: `key` (string | string[]): Key or array of keys to delete
- **list**
- List Redis keys matching a pattern
- Input: `pattern` (string, optional): Pattern to match keys (default: *)
## Usage with Claude Desktop
To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your `claude_desktop_config.json`:
### Docker
* when running docker on macos, use host.docker.internal if the server is running on the host network (eg localhost)
* Redis URL can be specified as an argument, defaults to "redis://localhost:6379"
```json
{
"mcpServers": {
"redis": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"mcp/redis",
"redis://host.docker.internal:6379"]
}
}
}
```
### NPX
```json
{
"mcpServers": {
"redis": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-redis",
"redis://localhost:6379"
]
}
}
}
```
## Building
Docker:
```sh
docker build -t mcp/redis -f src/redis/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
<file path="src/redis/tsconfig.json">
{
"compilerOptions": {
"target": "ES2022",
"module": "Node16",
"moduleResolution": "Node16",
"outDir": "./build",
"rootDir": "./src",
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true,
"forceConsistentCasingInFileNames": true
},
"include": ["src/**/*"],
"exclude": ["node_modules"]
}
</file>
<file path="src/sentry/src/mcp_server_sentry/__init__.py">
def main()
⋮----
"""Main entry point for the package."""
⋮----
# Optionally expose other important items at package level
__all__ = ["main", "server"]
</file>
<file path="src/sentry/src/mcp_server_sentry/__main__.py">
</file>
<file path="src/sentry/src/mcp_server_sentry/server.py">
SENTRY_API_BASE = "https://sentry.io/api/0/"
MISSING_AUTH_TOKEN_MESSAGE = (
⋮----
@dataclass
class SentryIssueData
⋮----
title: str
issue_id: str
status: str
level: str
first_seen: str
last_seen: str
count: int
stacktrace: str
⋮----
def to_text(self) -> str
⋮----
def to_prompt_result(self) -> types.GetPromptResult
⋮----
def to_tool_result(self) -> list[types.TextContent | types.ImageContent | types.EmbeddedResource]
⋮----
class SentryError(Exception)
⋮----
def extract_issue_id(issue_id_or_url: str) -> str
⋮----
"""
Extracts the Sentry issue ID from either a full URL or a standalone ID.
This function validates the input and returns the numeric issue ID.
It raises SentryError for invalid inputs, including empty strings,
non-Sentry URLs, malformed paths, and non-numeric IDs.
"""
⋮----
parsed_url = urlparse(issue_id_or_url)
⋮----
path_parts = parsed_url.path.strip("/").split("/")
⋮----
issue_id = path_parts[-1]
⋮----
issue_id = issue_id_or_url
⋮----
def create_stacktrace(latest_event: dict) -> str
⋮----
"""
Creates a formatted stacktrace string from the latest Sentry event.
This function extracts exception information and stacktrace details from the
provided event dictionary, formatting them into a human-readable string.
It handles multiple exceptions and includes file, line number, and function
information for each frame in the stacktrace.
Args:
latest_event (dict): A dictionary containing the latest Sentry event data.
Returns:
str: A formatted string containing the stacktrace information,
or "No stacktrace found" if no relevant data is present.
"""
stacktraces = []
⋮----
exception_data = entry["data"]["values"]
⋮----
exception_type = exception.get("type", "Unknown")
exception_value = exception.get("value", "")
stacktrace = exception.get("stacktrace")
⋮----
stacktrace_text = f"Exception: {exception_type}: {exception_value}\n\n"
⋮----
filename = frame.get("filename", "Unknown")
lineno = frame.get("lineNo", "?")
function = frame.get("function", "Unknown")
⋮----
context = frame["context"]
⋮----
issue_id = extract_issue_id(issue_id_or_url)
⋮----
response = await http_client.get(
⋮----
issue_data = response.json()
⋮----
# Get issue hashes
hashes_response = await http_client.get(
⋮----
hashes = hashes_response.json()
⋮----
latest_event = hashes[0]["latestEvent"]
stacktrace = create_stacktrace(latest_event)
⋮----
async def serve(auth_token: str) -> Server
⋮----
server = Server("sentry")
http_client = httpx.AsyncClient(base_url=SENTRY_API_BASE)
⋮----
@server.list_prompts()
async def handle_list_prompts() -> list[types.Prompt]
⋮----
issue_id_or_url = (arguments or {}).get("issue_id_or_url", "")
issue_data = await handle_sentry_issue(http_client, auth_token, issue_id_or_url)
⋮----
@server.list_tools()
async def handle_list_tools() -> list[types.Tool]
⋮----
issue_data = await handle_sentry_issue(http_client, auth_token, arguments["issue_id_or_url"])
⋮----
def main(auth_token: str)
⋮----
async def _run()
⋮----
server = await serve(auth_token)
</file>
<file path="src/sentry/.python-version">
3.10
</file>
<file path="src/sentry/Dockerfile">
# Use a Python image with uv pre-installed
FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv
# Install the project into `/app`
WORKDIR /app
# Enable bytecode compilation
ENV UV_COMPILE_BYTECODE=1
# Copy from the cache instead of linking since it's a mounted volume
ENV UV_LINK_MODE=copy
# Install the project's dependencies using the lockfile and settings
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=uv.lock,target=uv.lock \
--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
uv sync --frozen --no-install-project --no-dev --no-editable
# Then, add the rest of the project source code and install it
# Installing separately from its dependencies allows optimal layer caching
ADD . /app
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-dev --no-editable
FROM python:3.12-slim-bookworm
WORKDIR /app
COPY --from=uv /root/.local /root/.local
COPY --from=uv --chown=app:app /app/.venv /app/.venv
# Place executables in the environment at the front of the path
ENV PATH="/app/.venv/bin:$PATH"
# when running the container, add --db-path and a bind mount to the host's db file
ENTRYPOINT ["mcp-server-sentry"]
</file>
<file path="src/sentry/pyproject.toml">
[project]
name = "mcp-server-sentry"
version = "0.6.2"
description = "MCP server for retrieving issues from sentry.io"
readme = "README.md"
requires-python = ">=3.10"
dependencies = ["mcp>=1.0.0"]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.uv]
dev-dependencies = ["pyright>=1.1.389", "pytest>=8.3.3", "ruff>=0.8.0"]
[project.scripts]
mcp-server-sentry = "mcp_server_sentry:main"
</file>
<file path="src/sentry/README.md">
# mcp-server-sentry: A Sentry MCP server
## Overview
A Model Context Protocol server for retrieving and analyzing issues from Sentry.io. This server provides tools to inspect error reports, stacktraces, and other debugging information from your Sentry account.
### Tools
1. `get_sentry_issue`
- Retrieve and analyze a Sentry issue by ID or URL
- Input:
- `issue_id_or_url` (string): Sentry issue ID or URL to analyze
- Returns: Issue details including:
- Title
- Issue ID
- Status
- Level
- First seen timestamp
- Last seen timestamp
- Event count
- Full stacktrace
### Prompts
1. `sentry-issue`
- Retrieve issue details from Sentry
- Input:
- `issue_id_or_url` (string): Sentry issue ID or URL
- Returns: Formatted issue details as conversation context
## Installation
### Using uv (recommended)
When using [`uv`](https://docs.astral.sh/uv/) no specific installation is needed. We will
use [`uvx`](https://docs.astral.sh/uv/guides/tools/) to directly run *mcp-server-sentry*.
### Using PIP
Alternatively you can install `mcp-server-sentry` via pip:
```
pip install mcp-server-sentry
```
After installation, you can run it as a script using:
```
python -m mcp_server_sentry
```
## Configuration
### Usage with Claude Desktop
Add this to your `claude_desktop_config.json`:
<details>
<summary>Using uvx</summary>
```json
"mcpServers": {
"sentry": {
"command": "uvx",
"args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
}
}
```
</details>
<details>
<details>
<summary>Using docker</summary>
```json
"mcpServers": {
"sentry": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
}
}
```
</details>
<details>
<summary>Using pip installation</summary>
```json
"mcpServers": {
"sentry": {
"command": "python",
"args": ["-m", "mcp_server_sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
}
}
```
</details>
### Usage with [Zed](https://github.com/zed-industries/zed)
Add to your Zed settings.json:
<details>
<summary>Using uvx</summary>
```json
"context_servers": [
"mcp-server-sentry": {
"command": {
"path": "uvx",
"args": ["mcp-server-sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
}
}
],
```
</details>
<details>
<summary>Using pip installation</summary>
```json
"context_servers": {
"mcp-server-sentry": {
"command": "python",
"args": ["-m", "mcp_server_sentry", "--auth-token", "YOUR_SENTRY_TOKEN"]
}
},
```
</details>
## Debugging
You can use the MCP inspector to debug the server. For uvx installations:
```
npx @modelcontextprotocol/inspector uvx mcp-server-sentry --auth-token YOUR_SENTRY_TOKEN
```
Or if you've installed the package in a specific directory or are developing on it:
```
cd path/to/servers/src/sentry
npx @modelcontextprotocol/inspector uv run mcp-server-sentry --auth-token YOUR_SENTRY_TOKEN
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
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<file path="src/sequentialthinking/Dockerfile">
FROM node:22.12-alpine AS builder
COPY src/sequentialthinking /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev
FROM node:22-alpine AS release
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
WORKDIR /app
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]
</file>
<file path="src/sequentialthinking/index.ts">
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequestSchema,
ListToolsRequestSchema,
Tool,
} from "@modelcontextprotocol/sdk/types.js";
// Fixed chalk import for ESM
import chalk from 'chalk';
⋮----
interface ThoughtData {
thought: string;
thoughtNumber: number;
totalThoughts: number;
isRevision?: boolean;
revisesThought?: number;
branchFromThought?: number;
branchId?: string;
needsMoreThoughts?: boolean;
nextThoughtNeeded: boolean;
}
⋮----
class SequentialThinkingServer
⋮----
private validateThoughtData(input: unknown): ThoughtData
⋮----
private formatThought(thoughtData: ThoughtData): string
⋮----
public processThought(input: unknown):
⋮----
async function runServer()
</file>
<file path="src/sequentialthinking/package.json">
{
"name": "@modelcontextprotocol/server-sequential-thinking",
"version": "0.6.2",
"description": "MCP server for sequential thinking and problem solving",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-sequential-thinking": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "0.5.0",
"chalk": "^5.3.0",
"yargs": "^17.7.2"
},
"devDependencies": {
"@types/node": "^22",
"@types/yargs": "^17.0.32",
"shx": "^0.3.4",
"typescript": "^5.3.3"
}
}
</file>
<file path="src/sequentialthinking/README.md">
# Sequential Thinking MCP Server
An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.
## Features
- Break down complex problems into manageable steps
- Revise and refine thoughts as understanding deepens
- Branch into alternative paths of reasoning
- Adjust the total number of thoughts dynamically
- Generate and verify solution hypotheses
## Tool
### sequential_thinking
Facilitates a detailed, step-by-step thinking process for problem-solving and analysis.
**Inputs:**
- `thought` (string): The current thinking step
- `nextThoughtNeeded` (boolean): Whether another thought step is needed
- `thoughtNumber` (integer): Current thought number
- `totalThoughts` (integer): Estimated total thoughts needed
- `isRevision` (boolean, optional): Whether this revises previous thinking
- `revisesThought` (integer, optional): Which thought is being reconsidered
- `branchFromThought` (integer, optional): Branching point thought number
- `branchId` (string, optional): Branch identifier
- `needsMoreThoughts` (boolean, optional): If more thoughts are needed
## Usage
The Sequential Thinking tool is designed for:
- Breaking down complex problems into steps
- Planning and design with room for revision
- Analysis that might need course correction
- Problems where the full scope might not be clear initially
- Tasks that need to maintain context over multiple steps
- Situations where irrelevant information needs to be filtered out
## Configuration
### Usage with Claude Desktop
Add this to your `claude_desktop_config.json`:
#### npx
```json
{
"mcpServers": {
"sequential-thinking": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-sequential-thinking"
]
}
}
}
```
#### docker
```json
{
"mcpServers": {
"sequentialthinking": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"mcp/sequentialthinking"
]
}
}
}
```
## Building
Docker:
```bash
docker build -t mcp/sequentialthinking -f src/sequentialthinking/Dockerfile .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
<file path="src/sequentialthinking/tsconfig.json">
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": ".",
"moduleResolution": "NodeNext",
"module": "NodeNext"
},
"include": ["./**/*.ts"]
}
</file>
<file path="src/slack/Dockerfile">
FROM node:22.12-alpine AS builder
# Must be entire project because `prepare` script is run during `npm install` and requires all files.
COPY src/slack /app
COPY tsconfig.json /tsconfig.json
WORKDIR /app
RUN --mount=type=cache,target=/root/.npm npm install
RUN --mount=type=cache,target=/root/.npm-production npm ci --ignore-scripts --omit-dev
FROM node:22-alpine AS release
COPY --from=builder /app/dist /app/dist
COPY --from=builder /app/package.json /app/package.json
COPY --from=builder /app/package-lock.json /app/package-lock.json
ENV NODE_ENV=production
WORKDIR /app
RUN npm ci --ignore-scripts --omit-dev
ENTRYPOINT ["node", "dist/index.js"]
</file>
<file path="src/slack/index.ts">
import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import {
CallToolRequest,
CallToolRequestSchema,
ListToolsRequestSchema,
Tool,
} from "@modelcontextprotocol/sdk/types.js";
⋮----
// Type definitions for tool arguments
interface ListChannelsArgs {
limit?: number;
cursor?: string;
}
⋮----
interface PostMessageArgs {
channel_id: string;
text: string;
}
⋮----
interface ReplyToThreadArgs {
channel_id: string;
thread_ts: string;
text: string;
}
⋮----
interface AddReactionArgs {
channel_id: string;
timestamp: string;
reaction: string;
}
⋮----
interface GetChannelHistoryArgs {
channel_id: string;
limit?: number;
}
⋮----
interface GetThreadRepliesArgs {
channel_id: string;
thread_ts: string;
}
⋮----
interface GetUsersArgs {
cursor?: string;
limit?: number;
}
⋮----
interface GetUserProfileArgs {
user_id: string;
}
⋮----
// Tool definitions
⋮----
class SlackClient
⋮----
constructor(botToken: string)
⋮----
async getChannels(limit: number = 100, cursor?: string): Promise<any>
⋮----
async postMessage(channel_id: string, text: string): Promise<any>
⋮----
async postReply(
channel_id: string,
thread_ts: string,
text: string,
): Promise<any>
⋮----
async addReaction(
channel_id: string,
timestamp: string,
reaction: string,
): Promise<any>
⋮----
async getChannelHistory(
channel_id: string,
limit: number = 10,
): Promise<any>
⋮----
async getThreadReplies(channel_id: string, thread_ts: string): Promise<any>
⋮----
async getUsers(limit: number = 100, cursor?: string): Promise<any>
⋮----
async getUserProfile(user_id: string): Promise<any>
⋮----
async function main()
</file>
<file path="src/slack/package.json">
{
"name": "@modelcontextprotocol/server-slack",
"version": "0.6.2",
"description": "MCP server for interacting with Slack",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"bin": {
"mcp-server-slack": "dist/index.js"
},
"files": [
"dist"
],
"scripts": {
"build": "tsc && shx chmod +x dist/*.js",
"prepare": "npm run build",
"watch": "tsc --watch"
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.0.1"
},
"devDependencies": {
"@types/node": "^22",
"shx": "^0.3.4",
"typescript": "^5.6.2"
}
}
</file>
<file path="src/slack/tsconfig.json">
{
"extends": "../../tsconfig.json",
"compilerOptions": {
"outDir": "./dist",
"rootDir": "."
},
"include": [
"./**/*.ts"
]
}
</file>
<file path="src/sqlite/src/mcp_server_sqlite/__init__.py">
def main()
⋮----
"""Main entry point for the package."""
parser = argparse.ArgumentParser(description='SQLite MCP Server')
⋮----
args = parser.parse_args()
⋮----
# Optionally expose other important items at package level
__all__ = ["main", "server"]
</file>
<file path="src/sqlite/src/mcp_server_sqlite/server.py">
# reconfigure UnicodeEncodeError prone default (i.e. windows-1252) to utf-8
⋮----
logger = logging.getLogger('mcp_sqlite_server')
⋮----
PROMPT_TEMPLATE = """
⋮----
class SqliteDatabase
⋮----
def __init__(self, db_path: str)
⋮----
def _init_database(self)
⋮----
"""Initialize connection to the SQLite database"""
⋮----
def _synthesize_memo(self) -> str
⋮----
"""Synthesizes business insights into a formatted memo"""
⋮----
insights = "\n".join(f"- {insight}" for insight in self.insights)
⋮----
memo = "📊 Business Intelligence Memo 📊\n\n"
⋮----
def _execute_query(self, query: str, params: dict[str, Any] | None = None) -> list[dict[str, Any]]
⋮----
"""Execute a SQL query and return results as a list of dictionaries"""
⋮----
affected = cursor.rowcount
⋮----
results = [dict(row) for row in cursor.fetchall()]
⋮----
async def main(db_path: str)
⋮----
db = SqliteDatabase(db_path)
server = Server("sqlite-manager")
⋮----
# Register handlers
⋮----
@server.list_resources()
async def handle_list_resources() -> list[types.Resource]
⋮----
@server.read_resource()
async def handle_read_resource(uri: AnyUrl) -> str
⋮----
path = str(uri).replace("memo://", "")
⋮----
@server.list_prompts()
async def handle_list_prompts() -> list[types.Prompt]
⋮----
@server.get_prompt()
async def handle_get_prompt(name: str, arguments: dict[str, str] | None) -> types.GetPromptResult
⋮----
topic = arguments["topic"]
prompt = PROMPT_TEMPLATE.format(topic=topic)
⋮----
@server.list_tools()
async def handle_list_tools() -> list[types.Tool]
⋮----
"""List available tools"""
⋮----
"""Handle tool execution requests"""
⋮----
results = db._execute_query(
⋮----
_ = db._synthesize_memo()
⋮----
# Notify clients that the memo resource has changed
⋮----
results = db._execute_query(arguments["query"])
</file>
<file path="src/sqlite/.python-version">
3.10
</file>
<file path="src/sqlite/Dockerfile">
# Use a Python image with uv pre-installed
FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv
# Install the project into `/app`
WORKDIR /app
# Enable bytecode compilation
ENV UV_COMPILE_BYTECODE=1
# Copy from the cache instead of linking since it's a mounted volume
ENV UV_LINK_MODE=copy
# Install the project's dependencies using the lockfile and settings
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=uv.lock,target=uv.lock \
--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
uv sync --frozen --no-install-project --no-dev --no-editable
# Then, add the rest of the project source code and install it
# Installing separately from its dependencies allows optimal layer caching
ADD . /app
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-dev --no-editable
FROM python:3.12-slim-bookworm
WORKDIR /app
COPY --from=uv /root/.local /root/.local
COPY --from=uv --chown=app:app /app/.venv /app/.venv
# Place executables in the environment at the front of the path
ENV PATH="/app/.venv/bin:$PATH"
# when running the container, add --db-path and a bind mount to the host's db file
ENTRYPOINT ["mcp-server-sqlite"]
</file>
<file path="src/sqlite/pyproject.toml">
[project]
name = "mcp-server-sqlite"
version = "0.6.2"
description = "A simple SQLite MCP server"
readme = "README.md"
requires-python = ">=3.10"
dependencies = ["mcp>=1.0.0"]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.uv]
dev-dependencies = ["pyright>=1.1.389"]
[project.scripts]
mcp-server-sqlite = "mcp_server_sqlite:main"
</file>
<file path="src/sqlite/README.md">
# SQLite MCP Server
## Overview
A Model Context Protocol (MCP) server implementation that provides database interaction and business intelligence capabilities through SQLite. This server enables running SQL queries, analyzing business data, and automatically generating business insight memos.
## Components
### Resources
The server exposes a single dynamic resource:
- `memo://insights`: A continuously updated business insights memo that aggregates discovered insights during analysis
- Auto-updates as new insights are discovered via the append-insight tool
### Prompts
The server provides a demonstration prompt:
- `mcp-demo`: Interactive prompt that guides users through database operations
- Required argument: `topic` - The business domain to analyze
- Generates appropriate database schemas and sample data
- Guides users through analysis and insight generation
- Integrates with the business insights memo
### Tools
The server offers six core tools:
#### Query Tools
- `read_query`
- Execute SELECT queries to read data from the database
- Input:
- `query` (string): The SELECT SQL query to execute
- Returns: Query results as array of objects
- `write_query`
- Execute INSERT, UPDATE, or DELETE queries
- Input:
- `query` (string): The SQL modification query
- Returns: `{ affected_rows: number }`
- `create_table`
- Create new tables in the database
- Input:
- `query` (string): CREATE TABLE SQL statement
- Returns: Confirmation of table creation
#### Schema Tools
- `list_tables`
- Get a list of all tables in the database
- No input required
- Returns: Array of table names
- `describe-table`
- View schema information for a specific table
- Input:
- `table_name` (string): Name of table to describe
- Returns: Array of column definitions with names and types
#### Analysis Tools
- `append_insight`
- Add new business insights to the memo resource
- Input:
- `insight` (string): Business insight discovered from data analysis
- Returns: Confirmation of insight addition
- Triggers update of memo://insights resource
## Usage with Claude Desktop
### uv
```bash
# Add the server to your claude_desktop_config.json
"mcpServers": {
"sqlite": {
"command": "uv",
"args": [
"--directory",
"parent_of_servers_repo/servers/src/sqlite",
"run",
"mcp-server-sqlite",
"--db-path",
"~/test.db"
]
}
}
```
### Docker
```json
# Add the server to your claude_desktop_config.json
"mcpServers": {
"sqlite": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-v",
"mcp-test:/mcp",
"mcp/sqlite",
"--db-path",
"/mcp/test.db"
]
}
}
```
## Building
Docker:
```bash
docker build -t mcp/sqlite .
```
## License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
</file>
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<file path="src/time/src/mcp_server_time/__init__.py">
def main()
⋮----
"""MCP Time Server - Time and timezone conversion functionality for MCP"""
⋮----
parser = argparse.ArgumentParser(
⋮----
args = parser.parse_args()
</file>
<file path="src/time/src/mcp_server_time/__main__.py">
</file>
<file path="src/time/src/mcp_server_time/server.py">
class TimeTools(str, Enum)
⋮----
GET_CURRENT_TIME = "get_current_time"
CONVERT_TIME = "convert_time"
⋮----
class TimeResult(BaseModel)
⋮----
timezone: str
datetime: str
is_dst: bool
⋮----
class TimeConversionResult(BaseModel)
⋮----
source: TimeResult
target: TimeResult
time_difference: str
⋮----
class TimeConversionInput(BaseModel)
⋮----
source_tz: str
time: str
target_tz_list: list[str]
⋮----
def get_local_tz(local_tz_override: str | None = None) -> ZoneInfo
⋮----
# Get local timezone from datetime.now()
tzinfo = datetime.now().astimezone(tz=None).tzinfo
⋮----
def get_zoneinfo(timezone_name: str) -> ZoneInfo
⋮----
class TimeServer
⋮----
def get_current_time(self, timezone_name: str) -> TimeResult
⋮----
"""Get current time in specified timezone"""
timezone = get_zoneinfo(timezone_name)
current_time = datetime.now(timezone)
⋮----
"""Convert time between timezones"""
source_timezone = get_zoneinfo(source_tz)
target_timezone = get_zoneinfo(target_tz)
⋮----
parsed_time = datetime.strptime(time_str, "%H:%M").time()
⋮----
now = datetime.now(source_timezone)
source_time = datetime(
⋮----
target_time = source_time.astimezone(target_timezone)
source_offset = source_time.utcoffset() or timedelta()
target_offset = target_time.utcoffset() or timedelta()
hours_difference = (target_offset - source_offset).total_seconds() / 3600
⋮----
time_diff_str = f"{hours_difference:+.1f}h"
⋮----
# For fractional hours like Nepal's UTC+5:45
time_diff_str = f"{hours_difference:+.2f}".rstrip("0").rstrip(".") + "h"
⋮----
async def serve(local_timezone: str | None = None) -> None
⋮----
server = Server("mcp-time")
time_server = TimeServer()
local_tz = str(get_local_tz(local_timezone))
⋮----
@server.list_tools()
async def list_tools() -> list[Tool]
⋮----
"""List available time tools."""
⋮----
"""Handle tool calls for time queries."""
⋮----
timezone = arguments.get("timezone")
⋮----
result = time_server.get_current_time(timezone)
⋮----
result = time_server.convert_time(
⋮----
options = server.create_initialization_options()
</file>
<file path="src/time/test/time_server_test.py">
# UTC+1 non-DST
⋮----
# UTC non-DST
⋮----
# UTC-5 non-DST
⋮----
# UTC+1 DST
⋮----
# UTC DST
⋮----
# UTC-5 DST
⋮----
def test_get_current_time(test_time, timezone, expected)
⋮----
time_server = TimeServer()
result = time_server.get_current_time(timezone)
⋮----
def test_get_current_time_with_invalid_timezone()
⋮----
def test_convert_time_errors(source_tz, time_str, target_tz, expected_error)
⋮----
# Basic case: Standard time conversion between Warsaw and London (1 hour difference)
# Warsaw is UTC+1, London is UTC+0
⋮----
# Reverse case of above: London to Warsaw conversion
# Shows how time difference is positive when going east
⋮----
# Edge case: Different DST periods between Europe and USA
# Europe ends DST on Oct 27, while USA waits until Nov 3
# This creates a one-week period where Europe is in standard time but USA still observes DST
⋮----
# Follow-up to previous case: After both regions end DST
# Shows how time difference increases by 1 hour when USA also ends DST
⋮----
# Edge case: Nepal's unusual UTC+5:45 offset
# One of the few time zones using 45-minute offset
⋮----
# Reverse case for Nepal
# Demonstrates how 45-minute offset works in opposite direction
⋮----
# Edge case: Lord Howe Island's unique DST rules
# One of the few places using 30-minute DST shift
# During summer (DST), they use UTC+11
⋮----
# Second Lord Howe Island case: During their standard time
# Shows transition to UTC+10:30 after DST ends
⋮----
# Edge case: Date line crossing with Samoa
# Demonstrates how a single time conversion can result in a date change
# Samoa is UTC+13, creating almost a full day difference with Warsaw
⋮----
# Edge case: Iran's unusual half-hour offset
# Demonstrates conversion with Iran's UTC+3:30 timezone
⋮----
# Edge case: Venezuela's unusual -4:30 offset (historical)
# In 2016, Venezuela moved from -4:30 to -4:00
# Useful for testing historical dates
⋮----
"2016-04-30 00:00:00+00:00", # Just before the change
⋮----
# Edge case: Israel's variable DST
# Israel's DST changes don't follow a fixed pattern
# They often change dates year-to-year based on Hebrew calendar
⋮----
# Edge case: Antarctica/Troll station
# Only timezone that uses UTC+0 in winter and UTC+2 in summer
# One of the few zones with exactly 2 hours DST difference
⋮----
# Edge case: Kiribati date line anomaly
# After skipping Dec 31, 1994, eastern Kiribati is UTC+14
# The furthest forward timezone in the world
⋮----
# Edge case: Chatham Islands, New Zealand
# Uses unusual 45-minute offset AND observes DST
# UTC+12:45 in standard time, UTC+13:45 in DST
⋮----
def test_convert_time(test_time, source_tz, time_str, target_tz, expected)
⋮----
result = time_server.convert_time(source_tz, time_str, target_tz)
</file>
<file path="src/time/.python-version">
3.10
</file>
<file path="src/time/Dockerfile">
# Use a Python image with uv pre-installed
FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS uv
# Install the project into `/app`
WORKDIR /app
# Enable bytecode compilation
ENV UV_COMPILE_BYTECODE=1
# Copy from the cache instead of linking since it's a mounted volume
ENV UV_LINK_MODE=copy
# Install the project's dependencies using the lockfile and settings
RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=uv.lock,target=uv.lock \
--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
uv sync --frozen --no-install-project --no-dev --no-editable
# Then, add the rest of the project source code and install it
# Installing separately from its dependencies allows optimal layer caching
ADD . /app
RUN --mount=type=cache,target=/root/.cache/uv \
uv sync --frozen --no-dev --no-editable
FROM python:3.12-slim-bookworm
WORKDIR /app
COPY --from=uv /root/.local /root/.local
COPY --from=uv --chown=app:app /app/.venv /app/.venv
# Place executables in the environment at the front of the path
ENV PATH="/app/.venv/bin:$PATH"
# when running the container, add --db-path and a bind mount to the host's db file
ENTRYPOINT ["mcp-server-time"]
</file>
<file path="src/time/pyproject.toml">
[project]
name = "mcp-server-time"
version = "0.6.2"
description = "A Model Context Protocol server providing tools for time queries and timezone conversions for LLMs"
readme = "README.md"
requires-python = ">=3.10"
authors = [
{ name = "Mariusz 'maledorak' Korzekwa", email = "mariusz@korzekwa.dev" },
]
keywords = ["time", "timezone", "mcp", "llm"]
license = { text = "MIT" }
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
]
dependencies = [
"mcp>=1.0.0",
"pydantic>=2.0.0",
"tzdata>=2024.2",
]
[project.scripts]
mcp-server-time = "mcp_server_time:main"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.uv]
dev-dependencies = [
"freezegun>=1.5.1",
"pyright>=1.1.389",
"pytest>=8.3.3",
"ruff>=0.8.1",
]
</file>
<file path="src/time/README.md">
# Time MCP Server
A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
### Available Tools
- `get_current_time` - Get current time in a specific timezone or system timezone.
- Required arguments:
- `timezone` (string): IANA timezone name (e.g., 'America/New_York', 'Europe/London')
- `convert_time` - Convert time between timezones.
- Required arguments:
- `source_timezone` (string): Source IANA timezone name
- `time` (string): Time in 24-hour format (HH:MM)
- `target_timezone` (string): Target IANA timezone name
## Installation
### Using uv (recommended)
When using [`uv`](https://docs.astral.sh/uv/) no specific installation is needed. We will
use [`uvx`](https://docs.astral.sh/uv/guides/tools/) to directly run *mcp-server-time*.
### Using PIP
Alternatively you can install `mcp-server-time` via pip:
```bash
pip install mcp-server-time
```
After installation, you can run it as a script using:
```bash
python -m mcp_server_time
```
## Configuration
### Configure for Claude.app
Add to your Claude settings:
<details>
<summary>Using uvx</summary>
```json
"mcpServers": {
"time": {
"command": "uvx",
"args": ["mcp-server-time"]
}
}
```
</details>
<details>
<summary>Using docker</summary>
```json
"mcpServers": {
"time": {
"command": "docker",
"args": ["run", "-i", "--rm", "mcp/time"]
}
}
```
</details>
<details>
<summary>Using pip installation</summary>
```json
"mcpServers": {
"time": {
"command": "python",
"args": ["-m", "mcp_server_time"]
}
}
```
</details>
### Configure for Zed
Add to your Zed settings.json:
<details>
<summary>Using uvx</summary>
```json
"context_servers": [
"mcp-server-time": {
"command": "uvx",
"args": ["mcp-server-time"]
}
],
```
</details>
<details>
<summary>Using pip installation</summary>
```json
"context_servers": {
"mcp-server-time": {
"command": "python",
"args": ["-m", "mcp_server_time"]
}
},
```
</details>
### Customization - System Timezone
By default, the server automatically detects your system's timezone. You can override this by adding the argument `--local-timezone` to the `args` list in the configuration.
Example:
```json
{
"command": "python",
"args": ["-m", "mcp_server_time", "--local-timezone=America/New_York"]
}
```
## Example Interactions
1. Get current time:
```json
{
"name": "get_current_time",
"arguments": {
"timezone": "Europe/Warsaw"
}
}
```
Response:
```json
{
"timezone": "Europe/Warsaw",
"datetime": "2024-01-01T13:00:00+01:00",
"is_dst": false
}
```
2. Convert time between timezones:
```json
{
"name": "convert_time",
"arguments": {
"source_timezone": "America/New_York",
"time": "16:30",
"target_timezone": "Asia/Tokyo"
}
}
```
Response:
```json
{
"source": {
"timezone": "America/New_York",
"datetime": "2024-01-01T12:30:00-05:00",
"is_dst": false
},
"target": {
"timezone": "Asia/Tokyo",
"datetime": "2024-01-01T12:30:00+09:00",
"is_dst": false
},
"time_difference": "+13.0h",
}
```
## Debugging
You can use the MCP inspector to debug the server. For uvx installations:
```bash
npx @modelcontextprotocol/inspector uvx mcp-server-time
```
Or if you've installed the package in a specific directory or are developing on it:
```bash
cd path/to/servers/src/time
npx @modelcontextprotocol/inspector uv run mcp-server-time
```
## Examples of Questions for Claude
1. "What time is it now?" (will use system timezone)
2. "What time is it in Tokyo?"
3. "When it's 4 PM in New York, what time is it in London?"
4. "Convert 9:30 AM Tokyo time to New York time"
## Build
Docker build:
```bash
cd src/time
docker build -t mcp/time .
```
## Contributing
We encourage contributions to help expand and improve mcp-server-time. Whether you want to add new time-related tools, enhance existing functionality, or improve documentation, your input is valuable.
For examples of other MCP servers and implementation patterns, see:
https://github.com/modelcontextprotocol/servers
Pull requests are welcome! Feel free to contribute new ideas, bug fixes, or enhancements to make mcp-server-time even more powerful and useful.
## License
mcp-server-time is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
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<file path=".gitattributes">
package-lock.json linguist-generated=true
</file>
<file path=".gitignore">
# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
lerna-debug.log*
.pnpm-debug.log*
# Diagnostic reports (https://nodejs.org/api/report.html)
report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
# Runtime data
pids
*.pid
*.seed
*.pid.lock
# Directory for instrumented libs generated by jscoverage/JSCover
lib-cov
# Coverage directory used by tools like istanbul
coverage
*.lcov
# nyc test coverage
.nyc_output
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.grunt
# Bower dependency directory (https://bower.io/)
bower_components
# node-waf configuration
.lock-wscript
# Compiled binary addons (https://nodejs.org/api/addons.html)
build/Release
# Dependency directories
node_modules/
jspm_packages/
# Snowpack dependency directory (https://snowpack.dev/)
web_modules/
# TypeScript cache
*.tsbuildinfo
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.npm
# Optional eslint cache
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# Optional stylelint cache
.stylelintcache
# Microbundle cache
.rpt2_cache/
.rts2_cache_cjs/
.rts2_cache_es/
.rts2_cache_umd/
# Optional REPL history
.node_repl_history
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*.tgz
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# dotenv environment variable files
.env
.env.development.local
.env.test.local
.env.production.local
.env.local
# parcel-bundler cache (https://parceljs.org/)
.cache
.parcel-cache
# Next.js build output
.next
out
# Nuxt.js build / generate output
.nuxt
dist
# Gatsby files
.cache/
# Comment in the public line in if your project uses Gatsby and not Next.js
# https://nextjs.org/blog/next-9-1#public-directory-support
# public
# vuepress build output
.vuepress/dist
# vuepress v2.x temp and cache directory
.temp
.cache
# Docusaurus cache and generated files
.docusaurus
# Serverless directories
.serverless/
# FuseBox cache
.fusebox/
# DynamoDB Local files
.dynamodb/
# TernJS port file
.tern-port
# Stores VSCode versions used for testing VSCode extensions
.vscode-test
# yarn v2
.yarn/cache
.yarn/unplugged
.yarn/build-state.yml
.yarn/install-state.gz
.pnp.*
build/
gcp-oauth.keys.json
.*-server-credentials.json
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
.pdm.toml
.pdm-python
.pdm-build/
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
.DS_Store
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
</file>
<file path=".npmrc">
registry="https://registry.npmjs.org/"
@modelcontextprotocol:registry="https://registry.npmjs.org/"
</file>
<file path="CODE_OF_CONDUCT.md">
# Contributor Covenant Code of Conduct
## Our Pledge
We as members, contributors, and leaders pledge to make participation in our
community a harassment-free experience for everyone, regardless of age, body
size, visible or invisible disability, ethnicity, sex characteristics, gender
identity and expression, level of experience, education, socio-economic status,
nationality, personal appearance, race, religion, or sexual identity
and orientation.
We pledge to act and interact in ways that contribute to an open, welcoming,
diverse, inclusive, and healthy community.
## Our Standards
Examples of behavior that contributes to a positive environment for our
community include:
* Demonstrating empathy and kindness toward other people
* Being respectful of differing opinions, viewpoints, and experiences
* Giving and gracefully accepting constructive feedback
* Accepting responsibility and apologizing to those affected by our mistakes,
and learning from the experience
* Focusing on what is best not just for us as individuals, but for the
overall community
Examples of unacceptable behavior include:
* The use of sexualized language or imagery, and sexual attention or
advances of any kind
* Trolling, insulting or derogatory comments, and personal or political attacks
* Public or private harassment
* Publishing others' private information, such as a physical or email
address, without their explicit permission
* Other conduct which could reasonably be considered inappropriate in a
professional setting
## Enforcement Responsibilities
Community leaders are responsible for clarifying and enforcing our standards of
acceptable behavior and will take appropriate and fair corrective action in
response to any behavior that they deem inappropriate, threatening, offensive,
or harmful.
Community leaders have the right and responsibility to remove, edit, or reject
comments, commits, code, wiki edits, issues, and other contributions that are
not aligned to this Code of Conduct, and will communicate reasons for moderation
decisions when appropriate.
## Scope
This Code of Conduct applies within all community spaces, and also applies when
an individual is officially representing the community in public spaces.
Examples of representing our community include using an official e-mail address,
posting via an official social media account, or acting as an appointed
representative at an online or offline event.
## Enforcement
Instances of abusive, harassing, or otherwise unacceptable behavior may be
reported to the community leaders responsible for enforcement at
mcp-coc@anthropic.com.
All complaints will be reviewed and investigated promptly and fairly.
All community leaders are obligated to respect the privacy and security of the
reporter of any incident.
## Enforcement Guidelines
Community leaders will follow these Community Impact Guidelines in determining
the consequences for any action they deem in violation of this Code of Conduct:
### 1. Correction
**Community Impact**: Use of inappropriate language or other behavior deemed
unprofessional or unwelcome in the community.
**Consequence**: A private, written warning from community leaders, providing
clarity around the nature of the violation and an explanation of why the
behavior was inappropriate. A public apology may be requested.
### 2. Warning
**Community Impact**: A violation through a single incident or series
of actions.
**Consequence**: A warning with consequences for continued behavior. No
interaction with the people involved, including unsolicited interaction with
those enforcing the Code of Conduct, for a specified period of time. This
includes avoiding interactions in community spaces as well as external channels
like social media. Violating these terms may lead to a temporary or
permanent ban.
### 3. Temporary Ban
**Community Impact**: A serious violation of community standards, including
sustained inappropriate behavior.
**Consequence**: A temporary ban from any sort of interaction or public
communication with the community for a specified period of time. No public or
private interaction with the people involved, including unsolicited interaction
with those enforcing the Code of Conduct, is allowed during this period.
Violating these terms may lead to a permanent ban.
### 4. Permanent Ban
**Community Impact**: Demonstrating a pattern of violation of community
standards, including sustained inappropriate behavior, harassment of an
individual, or aggression toward or disparagement of classes of individuals.
**Consequence**: A permanent ban from any sort of public interaction within
the community.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant][homepage],
version 2.0, available at
https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
Community Impact Guidelines were inspired by [Mozilla's code of conduct
enforcement ladder](https://github.com/mozilla/diversity).
[homepage]: https://www.contributor-covenant.org
For answers to common questions about this code of conduct, see the FAQ at
https://www.contributor-covenant.org/faq. Translations are available at
https://www.contributor-covenant.org/translations.
</file>
<file path="CONTRIBUTING.md">
# Contributing to MCP Servers
Thank you for your interest in contributing to the Model Context Protocol (MCP) servers! This document provides guidelines and instructions for contributing.
## Types of Contributions
### 1. New Servers
The repository contains reference implementations, as well as a list of community servers.
We generally don't accept new servers into the repository. We do accept pull requests to the [README.md](./README.md)
adding a reference to your servers.
Please keep lists in alphabetical order to minimize merge conflicts when adding new items.
- Check the [modelcontextprotocol.io](https://modelcontextprotocol.io) documentation
- Ensure your server doesn't duplicate existing functionality
- Consider whether your server would be generally useful to others
- Follow [security best practices](https://modelcontextprotocol.io/docs/concepts/transports#security-considerations) from the MCP documentation
- Create a PR adding a link to your server to the [README.md](./README.md).
### 2. Improvements to Existing Servers
Enhancements to existing servers are welcome! This includes:
- Bug fixes
- Performance improvements
- New features
- Security enhancements
### 3. Documentation
Documentation improvements are always welcome:
- Fixing typos or unclear instructions
- Adding examples
- Improving setup instructions
- Adding troubleshooting guides
## Getting Started
1. Fork the repository
2. Clone your fork:
```bash
git clone https://github.com/your-username/servers.git
```
3. Add the upstream remote:
```bash
git remote add upstream https://github.com/modelcontextprotocol/servers.git
```
4. Create a branch:
```bash
git checkout -b my-feature
```
## Development Guidelines
### Code Style
- Follow the existing code style in the repository
- Include appropriate type definitions
- Add comments for complex logic
### Documentation
- Include a detailed README.md in your server directory
- Document all configuration options
- Provide setup instructions
- Include usage examples
### Security
- Follow security best practices
- Implement proper input validation
- Handle errors appropriately
- Document security considerations
## Submitting Changes
1. Commit your changes:
```bash
git add .
git commit -m "Description of changes"
```
2. Push to your fork:
```bash
git push origin my-feature
```
3. Create a Pull Request through GitHub
### Pull Request Guidelines
- Thoroughly test your changes
- Fill out the pull request template completely
- Link any related issues
- Provide clear description of changes
- Include any necessary documentation updates
- Add screenshots for UI changes
- List any breaking changes
## Community
- Participate in [GitHub Discussions](https://github.com/orgs/modelcontextprotocol/discussions)
- Follow the [Code of Conduct](CODE_OF_CONDUCT.md)
## Questions?
- Check the [documentation](https://modelcontextprotocol.io)
- Ask in GitHub Discussions
Thank you for contributing to MCP Servers!
</file>
<file path="LICENSE">
MIT License
Copyright (c) 2024 Anthropic, PBC
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
</file>
<file path="package.json">
{
"name": "@modelcontextprotocol/servers",
"private": true,
"version": "0.6.2",
"description": "Model Context Protocol servers",
"license": "MIT",
"author": "Anthropic, PBC (https://anthropic.com)",
"homepage": "https://modelcontextprotocol.io",
"bugs": "https://github.com/modelcontextprotocol/servers/issues",
"type": "module",
"workspaces": [
"src/*"
],
"files": [],
"scripts": {
"build": "npm run build --workspaces",
"watch": "npm run watch --workspaces",
"publish-all": "npm publish --workspaces --access public",
"link-all": "npm link --workspaces"
},
"dependencies": {
"@modelcontextprotocol/server-everything": "*",
"@modelcontextprotocol/server-gdrive": "*",
"@modelcontextprotocol/server-postgres": "*",
"@modelcontextprotocol/server-puppeteer": "*",
"@modelcontextprotocol/server-slack": "*",
"@modelcontextprotocol/server-brave-search": "*",
"@modelcontextprotocol/server-memory": "*",
"@modelcontextprotocol/server-filesystem": "*",
"@modelcontextprotocol/server-everart": "*",
"@modelcontextprotocol/server-sequential-thinking": "*"
}
}
</file>
<file path="README.md">
# Model Context Protocol servers
This repository is a collection of *reference implementations* for the [Model Context Protocol](https://modelcontextprotocol.io/) (MCP), as well as references
to community built servers and additional resources.
The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
Each MCP server is implemented with either the [Typescript MCP SDK](https://github.com/modelcontextprotocol/typescript-sdk) or [Python MCP SDK](https://github.com/modelcontextprotocol/python-sdk).
> Note: Lists in this README are maintained in alphabetical order to minimize merge conflicts when adding new items.
## 🌟 Reference Servers
These servers aim to demonstrate MCP features and the TypeScript and Python SDKs.
- **[AWS KB Retrieval](src/aws-kb-retrieval-server)** - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
- **[Brave Search](src/brave-search)** - Web and local search using Brave's Search API
- **[EverArt](src/everart)** - AI image generation using various models
- **[Everything](src/everything)** - Reference / test server with prompts, resources, and tools
- **[Fetch](src/fetch)** - Web content fetching and conversion for efficient LLM usage
- **[Filesystem](src/filesystem)** - Secure file operations with configurable access controls
- **[Git](src/git)** - Tools to read, search, and manipulate Git repositories
- **[GitHub](src/github)** - Repository management, file operations, and GitHub API integration
- **[GitLab](src/gitlab)** - GitLab API, enabling project management
- **[Google Drive](src/gdrive)** - File access and search capabilities for Google Drive
- **[Google Maps](src/google-maps)** - Location services, directions, and place details
- **[Memory](src/memory)** - Knowledge graph-based persistent memory system
- **[PostgreSQL](src/postgres)** - Read-only database access with schema inspection
- **[Puppeteer](src/puppeteer)** - Browser automation and web scraping
- **[Redis](src/redis)** - Interact with Redis key-value stores
- **[Sentry](src/sentry)** - Retrieving and analyzing issues from Sentry.io
- **[Sequential Thinking](src/sequentialthinking)** - Dynamic and reflective problem-solving through thought sequences
- **[Slack](src/slack)** - Channel management and messaging capabilities
- **[Sqlite](src/sqlite)** - Database interaction and business intelligence capabilities
- **[Time](src/time)** - Time and timezone conversion capabilities
## 🤝 Third-Party Servers
### 🎖️ Official Integrations
Official integrations are maintained by companies building production ready MCP servers for their platforms.
- <img height="12" width="12" src="https://www.21st.dev/favicon.ico" alt="21st.dev Logo" /> **[21st.dev Magic](https://github.com/21st-dev/magic-mcp)** - Create crafted UI components inspired by the best 21st.dev design engineers.
- <img height="12" width="12" src="https://www.agentql.com/favicon/favicon.png" alt="AgentQL Logo" /> **[AgentQL](https://github.com/tinyfish-io/agentql-mcp)** - Enable AI agents to get structured data from unstructured web with [AgentQL](https://www.agentql.com/).
- <img height="12" width="12" src="https://apify.com/favicon.ico" alt="Apify Logo" /> **[Apify](https://github.com/apify/actors-mcp-server)** - [Actors MCP Server](https://apify.com/apify/actors-mcp-server): Use 3,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more
- <img height="12" width="12" src="https://resources.audiense.com/hubfs/favicon-1.png" alt="Audiense Logo" /> **[Audiense Insights](https://github.com/AudienseCo/mcp-audiense-insights)** - Marketing insights and audience analysis from [Audiense](https://www.audiense.com/products/audiense-insights) reports, covering demographic, cultural, influencer, and content engagement analysis.
- <img height="12" width="12" src="https://axiom.co/favicon.ico" alt="Axiom Logo" /> **[Axiom](https://github.com/axiomhq/mcp-server-axiom)** - Query and analyze your Axiom logs, traces, and all other event data in natural language
- <img height="12" width="12" src="https://www.bankless.com/favicon.ico" alt="Bankless Logo" /> **[Bankless Onchain](https://github.com/bankless/onchain-mcp)** - Query Onchain data, like ERC20 tokens, transaction history, smart contract state.
- <img height="12" width="12" src="https://browserbase.com/favicon.ico" alt="Browserbase Logo" /> **[Browserbase](https://github.com/browserbase/mcp-server-browserbase)** - Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
- <img height="12" width="12" src="https://trychroma.com/_next/static/media/chroma-logo.ae2d6e4b.svg" /> **[Chroma](https://github.com/chroma-core/chroma-mcp)** - Embeddings, vector search, document storage, and full-text search with the open-source AI application database
- <img height="12" width="12" src="https://www.chronulus.com/favicon/chronulus-logo-blue-on-alpha-square-128x128.ico" alt="Chronulus AI Logo" /> **[Chronulus AI](https://github.com/ChronulusAI/chronulus-mcp)** - Predict anything with Chronulus AI forecasting and prediction agents.
- <img height="12" width="12" src="https://clickhouse.com/favicon.ico" alt="ClickHouse Logo" /> **[ClickHouse](https://github.com/ClickHouse/mcp-clickhouse)** - Query your [ClickHouse](https://clickhouse.com/) database server.
- <img height="12" width="12" src="https://cdn.simpleicons.org/cloudflare" /> **[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)** - Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1)
- <img height="12" width="12" src="https://www.comet.com/favicon.ico" alt="Comet Logo" /> **[Comet Opik](https://github.com/comet-ml/opik-mcp)** - Query and analyze your [Opik](https://github.com/comet-ml/opik) logs, traces, prompts and all other telemtry data from your LLMs in natural language.
- <img height="12" width="12" src="https://www.convex.dev/favicon.ico" /> **[Convex](https://stack.convex.dev/convex-mcp-server)** - Introspect and query your apps deployed to Convex.
- <img height="12" width="12" src="http://app.itsdart.com/static/img/favicon.png" alt="Dart Logo" /> **[Dart](https://github.com/its-dart/dart-mcp-server)** - Interact with task, doc, and project data in [Dart](https://itsdart.com), an AI-native project management tool
- <img height="12" width="12" src="https://e2b.dev/favicon.ico" alt="E2B Logo" /> **[E2B](https://github.com/e2b-dev/mcp-server)** - Run code in secure sandboxes hosted by [E2B](https://e2b.dev)
- <img height="12" width="12" src="https://static.edubase.net/media/brand/favicon/favicon-32x32.png" alt="EduBase Logo" /> **[EduBase](https://github.com/EduBase/MCP)** - Interact with [EduBase](https://www.edubase.net), a comprehensive e-learning platform with advanced quizzing, exam management, and content organization capabilities
- <img height="12" width="12" src="https://esignatures.com/favicon.ico" alt="eSignatures Logo" /> **[eSignatures](https://github.com/esignaturescom/mcp-server-esignatures)** - Contract and template management for drafting, reviewing, and sending binding contracts.
- <img height="12" width="12" src="https://exa.ai/images/favicon-32x32.png" alt="Exa Logo" /> **[Exa](https://github.com/exa-labs/exa-mcp-server)** - Search Engine made for AIs by [Exa](https://exa.ai)
- <img height="12" width="12" src="https://fewsats.com/favicon.svg" alt="Fewsats Logo" /> **[Fewsats](https://github.com/Fewsats/fewsats-mcp)** - Enable AI Agents to purchase anything in a secure way using [Fewsats](https://fewsats.com)
- <img height="12" width="12" src="https://financialdatasets.ai/favicon.ico" alt="Financial Datasets Logo" /> **[Financial Datasets](https://github.com/financial-datasets/mcp-server)** - Stock market API made for AI agents
- <img height="12" width="12" src="https://firecrawl.dev/favicon.ico" alt="Firecrawl Logo" /> **[Firecrawl](https://github.com/mendableai/firecrawl-mcp-server)** - Extract web data with [Firecrawl](https://firecrawl.dev)
- <img height="12" width="12" src="https://fireproof.storage/favicon.ico" alt="Fireproof Logo" /> **[Fireproof](https://github.com/fireproof-storage/mcp-database-server)** - Immutable ledger database with live synchronization
- <img height="12" width="12" src="https://grafana.com/favicon.ico" alt="Grafana Logo" /> **[Grafana](https://github.com/grafana/mcp-grafana)** - Search dashboards, investigate incidents and query datasources in your Grafana instance
- <img height="12" width="12" src="https://framerusercontent.com/images/KCOWBYLKunDff1Dr452y6EfjiU.png" alt="Graphlit Logo" /> **[Graphlit](https://github.com/graphlit/graphlit-mcp-server)** - Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a searchable [Graphlit](https://www.graphlit.com) project.
- <img height="12" width="12" src="https://hyperbrowser-assets-bucket.s3.us-east-1.amazonaws.com/Hyperbrowser-logo.png" alt="Hyperbrowsers23 Logo" /> **[Hyperbrowser](https://github.com/hyperbrowserai/mcp)** - [Hyperbrowser](https://www.hyperbrowser.ai/) is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation.
- **[IBM wxflows](https://github.com/IBM/wxflows/tree/main/examples/mcp/javascript)** - Tool platform by IBM to build, test and deploy tools for any data source
- <img height="12" width="12" src="https://forevervm.com/icon.png" alt="ForeverVM Logo" /> **[ForeverVM](https://github.com/jamsocket/forevervm/tree/main/javascript/mcp-server)** - Run Python in a code sandbox.
- <img height="12" width="12" src="https://inkeep.com/favicon.ico" alt="Inkeep Logo" /> **[Inkeep](https://github.com/inkeep/mcp-server-python)** - RAG Search over your content powered by [Inkeep](https://inkeep.com)
- <img height="12" width="12" src="https://integration.app/favicon.ico" alt="Integration App Icon" /> **[Integration App](https://github.com/integration-app/mcp-server)** - Interact with any other SaaS applications on behalf of your customers.
- <img height="12" width="12" src="https://cdn.simpleicons.org/jetbrains" /> **[JetBrains](https://github.com/JetBrains/mcp-jetbrains)** – Work on your code with JetBrains IDEs
- <img height="12" width="12" src="https://kagi.com/favicon.ico" alt="Kagi Logo" /> **[Kagi Search](https://github.com/kagisearch/kagimcp)** - Search the web using Kagi's search API
- <img height="12" width="12" src="https://langfuse.com/favicon.ico" alt="Langfuse Logo" /> **[Langfuse Prompt Management](https://github.com/langfuse/mcp-server-langfuse)** - Open-source tool for collaborative editing, versioning, evaluating, and releasing prompts.
- <img height="12" width="12" src="https://lingo.dev/favicon.ico" alt="Lingo.dev Logo" /> **[Lingo.dev](https://github.com/lingodotdev/lingo.dev/blob/main/mcp.md)** - Make your AI agent speak every language on the planet, using [Lingo.dev](https://lingo.dev) Localization Engine.
- <img height="12" width="12" src="https://www.make.com/favicon.ico" alt="Make Logo" /> **[Make](https://github.com/integromat/make-mcp-server)** - Turn your [Make](https://www.make.com/) scenarios into callable tools for AI assistants.
- <img height="12" width="12" src="https://www.meilisearch.com/favicon.ico" alt="Meilisearch Logo" /> **[Meilisearch](https://github.com/meilisearch/meilisearch-mcp)** - Interact & query with Meilisearch (Full-text & semantic search API)
- <img height="12" width="12" src="https://metoro.io/static/images/logos/Metoro.svg" /> **[Metoro](https://github.com/metoro-io/metoro-mcp-server)** - Query and interact with kubernetes environments monitored by Metoro
- <img height="12" width="12" src="https://milvus.io/favicon-32x32.png" /> **[Milvus](https://github.com/zilliztech/mcp-server-milvus)** - Search, Query and interact with data in your Milvus Vector Database.
- <img height="12" width="12" src="https://www.motherduck.com/favicon.ico" alt="MotherDuck Logo" /> **[MotherDuck](https://github.com/motherduckdb/mcp-server-motherduck)** - Query and analyze data with MotherDuck and local DuckDB
- <img height="12" width="12" src="https://needle-ai.com/images/needle-logo-orange-2-rounded.png" alt="Needle AI Logo" /> **[Needle](https://github.com/needle-ai/needle-mcp)** - Production-ready RAG out of the box to search and retrieve data from your own documents.
- <img height="12" width="12" src="https://neo4j.com/favicon.ico" alt="Neo4j Logo" /> **[Neo4j](https://github.com/neo4j-contrib/mcp-neo4j/)** - Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
- <img height="12" width="12" src="https://avatars.githubusercontent.com/u/183852044?s=48&v=4" alt="Neon Logo" /> **[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform
- <img height="12" width="12" src="https://oxylabs.io/favicon.ico" alt="Oxylabs Logo" /> **[Oxylabs](https://github.com/oxylabs/oxylabs-mcp)** - Scrape websites with Oxylabs Web API, supporting dynamic rendering and parsing for structured data extraction.
- <img height="12" width="12" src="https://www.perplexity.ai/favicon.ico" alt="Perplexity Logo" /> **[Perplexity](https://github.com/ppl-ai/modelcontextprotocol)** - An MCP server that connects to Perplexity's Sonar API, enabling real-time web-wide research in conversational AI.
- <img height="12" width="12" src="https://qdrant.tech/img/brand-resources-logos/logomark.svg" /> **[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory layer on top of the Qdrant vector search engine
- **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)** - Interact with your crash reporting and real using monitoring data on your Raygun account
- <img height="12" width="12" src="https://www.rember.com/favicon.ico" alt="Rember Logo" /> **[Rember](https://github.com/rember/rember-mcp)** - Create spaced repetition flashcards in [Rember](https://rember.com) to remember anything you learn in your chats
- <img height="12" width="12" src="https://riza.io/favicon.ico" alt="Riza logo" /> **[Riza](https://github.com/riza-io/riza-mcp)** - Arbitrary code execution and tool-use platform for LLMs by [Riza](https://riza.io)
- <img height="12" width="12" src="https://pics.fatwang2.com/56912e614b35093426c515860f9f2234.svg" /> [Search1API](https://github.com/fatwang2/search1api-mcp) - One API for Search, Crawling, and Sitemaps
- <img height="12" width="12" src="https://screenshotone.com/favicon.ico" alt="ScreenshotOne Logo" /> **[ScreenshotOne](https://github.com/screenshotone/mcp/)** - Render website screenshots with [ScreenshotOne](https://screenshotone.com/)
- <img height="12" width="12" src="https://www.starrocks.io/favicon.ico" alt="StarRocks Logo" /> **[StarRocks](https://github.com/StarRocks/mcp-server-starrocks)** - Interact with [StarRocks](https://www.starrocks.io/)
- <img height="12" width="12" src="https://stripe.com/favicon.ico" alt="Stripe Logo" /> **[Stripe](https://github.com/stripe/agent-toolkit)** - Interact with Stripe API
- <img height="12" width="12" src="https://tavily.com/favicon.ico" alt="Tavily Logo" /> **[Tavily](https://github.com/tavily-ai/tavily-mcp)** - Search engine for AI agents (search + extract) powered by [Tavily](https://tavily.com/)
- <img height="12" width="12" src="https://www.tinybird.co/favicon.ico" alt="Tinybird Logo" /> **[Tinybird](https://github.com/tinybirdco/mcp-tinybird)** - Interact with Tinybird serverless ClickHouse platform
- <img height="12" width="12" src="https://unifai.network/favicon.ico" alt="UnifAI Logo" /> **[UnifAI](https://github.com/unifai-network/unifai-mcp-server)** - Dynamically search and call tools using [UnifAI Network](https://unifai.network)
- <img height="12" width="12" src="https://verodat.io/assets/favicon-16x16.png" alt="Verodat Logo" /> **[Verodat](https://github.com/Verodat/verodat-mcp-server)** - Interact with Verodat AI Ready Data platform
- **[ZenML](https://github.com/zenml-io/mcp-zenml)** - Interact with your MLOps and LLMOps pipelines through your [ZenML](https://www.zenml.io) MCP server
### 🌎 Community Servers
A growing set of community-developed and maintained servers demonstrates various applications of MCP across different domains.
> **Note:** Community servers are **untested** and should be used at **your own risk**. They are not affiliated with or endorsed by Anthropic.
- **[Ableton Live](https://github.com/Simon-Kansara/ableton-live-mcp-server)** - an MCP server to control Ableton Live.
- **[Airbnb](https://github.com/openbnb-org/mcp-server-airbnb)** - Provides tools to search Airbnb and get listing details.
- **[Algorand](https://github.com/GoPlausible/algorand-mcp)** - A comprehensive MCP server for tooling interactions (40+) and resource accessibility (60+) plus many useful prompts for interacting with the Algorand blockchain.
- **[Airflow](https://github.com/yangkyeongmo/mcp-server-apache-airflow)** - A MCP Server that connects to [Apache Airflow](https://airflow.apache.org/) using official python client.
- **[Airtable](https://github.com/domdomegg/airtable-mcp-server)** - Read and write access to [Airtable](https://airtable.com/) databases, with schema inspection.
- **[Airtable](https://github.com/felores/airtable-mcp)** - Airtable Model Context Protocol Server.
- **[AlphaVantage](https://github.com/calvernaz/alphavantage)** - MCP server for stock market data API [AlphaVantage](https://www.alphavantage.co)
- **[Anki](https://github.com/scorzeth/anki-mcp-server)** - An MCP server for interacting with your [Anki](https://apps.ankiweb.net) decks and cards.
- **[Any Chat Completions](https://github.com/pyroprompts/any-chat-completions-mcp)** - Interact with any OpenAI SDK Compatible Chat Completions API like OpenAI, Perplexity, Groq, xAI and many more.
- **[ArangoDB](https://github.com/ravenwits/mcp-server-arangodb)** - MCP Server that provides database interaction capabilities through [ArangoDB](https://arangodb.com/).
- **[Atlassian](https://github.com/sooperset/mcp-atlassian)** - Interact with Atlassian Cloud products (Confluence and Jira) including searching/reading Confluence spaces/pages, accessing Jira issues, and project metadata.
- **[AWS](https://github.com/rishikavikondala/mcp-server-aws)** - Perform operations on your AWS resources using an LLM.
- **[AWS Athena](https://github.com/lishenxydlgzs/aws-athena-mcp)** - A MCP server for AWS Athena to run SQL queries on Glue Catalog.
- **[AWS Cost Explorer](https://github.com/aarora79/aws-cost-explorer-mcp-server)** - Optimize your AWS spend (including Amazon Bedrock spend) with this MCP server by examining spend across regions, services, instance types and foundation models ([demo video](https://www.youtube.com/watch?v=WuVOmYLRFmI&feature=youtu.be)).
- **[AWS S3](https://github.com/aws-samples/sample-mcp-server-s3)** - A sample MCP server for AWS S3 that flexibly fetches objects from S3 such as PDF documents.
- **[Azure ADX](https://github.com/pab1it0/adx-mcp-server)** - Query and analyze Azure Data Explorer databases.
- **[Base Free USDC Transfer](https://github.com/magnetai/mcp-free-usdc-transfer)** - Send USDC on [Base](https://base.org) for free using Claude AI! Built with [Coinbase CDP](https://docs.cdp.coinbase.com/mpc-wallet/docs/welcome).
- **[BigQuery](https://github.com/LucasHild/mcp-server-bigquery)** (by LucasHild) - This server enables LLMs to inspect database schemas and execute queries on BigQuery.
- **[BigQuery](https://github.com/ergut/mcp-bigquery-server)** (by ergut) - Server implementation for Google BigQuery integration that enables direct BigQuery database access and querying capabilities
- **[Blender](https://github.com/ahujasid/blender-mcp)** (by ahujasid) - Blender integration allowing prompt enabled 3D scene creation, modeling and manipulation.
- **[CFBD API](https://github.com/lenwood/cfbd-mcp-server)** - An MCP server for the [College Football Data API](https://collegefootballdata.com/).
- **[ChatMCP](https://github.com/AI-QL/chat-mcp)** – An Open Source Cross-platform GUI Desktop application compatible with Linux, macOS, and Windows, enabling seamless interaction with MCP servers across dynamically selectable LLMs, by **[AIQL](https://github.com/AI-QL)**
- **[ChatSum](https://github.com/mcpso/mcp-server-chatsum)** - Query and Summarize chat messages with LLM. by [mcpso](https://mcp.so)
- **[Chroma](https://github.com/privetin/chroma)** - Vector database server for semantic document search and metadata filtering, built on Chroma
- **[ClaudePost](https://github.com/ZilongXue/claude-post)** - ClaudePost enables seamless email management for Gmail, offering secure features like email search, reading, and sending.
- **[Cloudinary](https://github.com/felores/cloudinary-mcp-server)** - Cloudinary Model Context Protocol Server to upload media to Cloudinary and get back the media link and details.
- **[code-executor](https://github.com/bazinga012/mcp_code_executor)** - An MCP server that allows LLMs to execute Python code within a specified Conda environment.
- **[code-sandbox-mcp](https://github.com/Automata-Labs-team/code-sandbox-mcp)** - An MCP server to create secure code sandbox environment for executing code within Docker containers.
- **[cognee-mcp](https://github.com/topoteretes/cognee/tree/main/cognee-mcp)** - GraphRAG memory server with customizable ingestion, data processing and search
- **[coin_api_mcp](https://github.com/longmans/coin_api_mcp)** - Provides access to [coinmarketcap](https://coinmarketcap.com/) cryptocurrency data.
- **[Contentful-mcp](https://github.com/ivo-toby/contentful-mcp)** - Read, update, delete, publish content in your [Contentful](https://contentful.com) space(s) from this MCP Server.
- **[Dappier](https://github.com/DappierAI/dappier-mcp)** - Connect LLMs to real-time, rights-cleared, proprietary data from trusted sources. Access specialized models for Real-Time Web Search, News, Sports, Financial Data, Crypto, and premium publisher content. Explore data models at [marketplace.dappier.com](https://marketplace.dappier.com/marketplace).
- **[Data Exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration)** - MCP server for autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort. NOTE: Will execute arbitrary Python code on your machine, please use with caution!
- **[Dataset Viewer](https://github.com/privetin/dataset-viewer)** - Browse and analyze Hugging Face datasets with features like search, filtering, statistics, and data export
- **[DBHub](https://github.com/bytebase/dbhub/)** - Universal database MCP server connecting to MySQL, PostgreSQL, SQLite, DuckDB and etc.
- **[DeepSeek MCP Server](https://github.com/DMontgomery40/deepseek-mcp-server)** - Model Context Protocol server integrating DeepSeek's advanced language models, in addition to [other useful API endpoints](https://github.com/DMontgomery40/deepseek-mcp-server?tab=readme-ov-file#features)
- **[Deepseek_R1](https://github.com/66julienmartin/MCP-server-Deepseek_R1)** - A Model Context Protocol (MCP) server implementation connecting Claude Desktop with DeepSeek's language models (R1/V3)
- **[deepseek-thinker-mcp](https://github.com/ruixingshi/deepseek-thinker-mcp)** - A MCP (Model Context Protocol) provider Deepseek reasoning content to MCP-enabled AI Clients, like Claude Desktop. Supports access to Deepseek's thought processes from the Deepseek API service or from a local Ollama server.
- **[Descope](https://github.com/descope-sample-apps/descope-mcp-server)** - An MCP server to integrate with [Descope](https://descope.com) to search audit logs, manage users, and more.
- **[DevRev](https://github.com/kpsunil97/devrev-mcp-server)** - An MCP server to integrate with DevRev APIs to search through your DevRev Knowledge Graph where objects can be imported from diff. sources listed [here](https://devrev.ai/docs/import#available-sources).
- **[Dify](https://github.com/YanxingLiu/dify-mcp-server)** - A simple implementation of an MCP server for dify workflows.
- **[Discord](https://github.com/v-3/discordmcp)** - A MCP server to connect to Discord guilds through a bot and read and write messages in channels
- **[Discourse](https://github.com/AshDevFr/discourse-mcp-server)** - A MCP server to search Discourse posts on a Discourse forum.
- **[Docker](https://github.com/ckreiling/mcp-server-docker)** - Integrate with Docker to manage containers, images, volumes, and networks.
- **[Drupal](https://github.com/Omedia/mcp-server-drupal)** - Server for interacting with [Drupal](https://www.drupal.org/project/mcp) using STDIO transport layer.
- **[Elasticsearch](https://github.com/cr7258/elasticsearch-mcp-server)** - MCP server implementation that provides Elasticsearch interaction.
- **[ElevenLabs](https://github.com/mamertofabian/elevenlabs-mcp-server)** - A server that integrates with ElevenLabs text-to-speech API capable of generating full voiceovers with multiple voices.
- **[Ergo Blockchain MCP](https://github.com/marctheshark3/ergo-mcp)** -An MCP server to integrate Ergo Blockchain Node and Explorer APIs for checking address balances, analyzing transactions, viewing transaction history, performing forensic analysis of addresses, searching for tokens, and monitoring network status.
- **[Eunomia](https://github.com/whataboutyou-ai/eunomia-MCP-server)** - Extension of the Eunomia framework that connects Eunomia instruments with MCP servers
- **[EVM MCP Server](https://github.com/mcpdotdirect/evm-mcp-server)** - Comprehensive blockchain services for 30+ EVM networks, supporting native tokens, ERC20, NFTs, smart contracts, transactions, and ENS resolution.
- **[Everything Search](https://github.com/mamertofabian/mcp-everything-search)** - Fast file searching capabilities across Windows (using [Everything SDK](https://www.voidtools.com/support/everything/sdk/)), macOS (using mdfind command), and Linux (using locate/plocate command).
- **[Fetch](https://github.com/zcaceres/fetch-mcp)** - A server that flexibly fetches HTML, JSON, Markdown, or plaintext.
- **[Figma](https://github.com/GLips/Figma-Context-MCP)** - Give your coding agent direct access to Figma file data, helping it one-shot design implementation.
- **[FireCrawl](https://github.com/vrknetha/mcp-server-firecrawl)** - Advanced web scraping with JavaScript rendering, PDF support, and smart rate limiting
- **[FlightRadar24](https://github.com/sunsetcoder/flightradar24-mcp-server)** - A Claude Desktop MCP server that helps you track flights in real-time using Flightradar24 data.
- **[Ghost](https://github.com/MFYDev/ghost-mcp)** - A Model Context Protocol (MCP) server for interacting with Ghost CMS through LLM interfaces like Claude.
- **[Glean](https://github.com/longyi1207/glean-mcp-server)** - A server that uses Glean API to search and chat.
- **[Gmail](https://github.com/GongRzhe/Gmail-MCP-Server)** - A Model Context Protocol (MCP) server for Gmail integration in Claude Desktop with auto authentication support.
- **[Goal Story](https://github.com/hichana/goalstory-mcp)** - a Goal Tracker and Visualization Tool for personal and professional development.
- **[GOAT](https://github.com/goat-sdk/goat/tree/main/typescript/examples/by-framework/model-context-protocol)** - Run more than +200 onchain actions on any blockchain including Ethereum, Solana and Base.
- **[Golang Filesystem Server](https://github.com/mark3labs/mcp-filesystem-server)** - Secure file operations with configurable access controls built with Go!
- **[Google Calendar](https://github.com/v-3/google-calendar)** - Integration with Google Calendar to check schedules, find time, and add/delete events
- **[Google Calendar](https://github.com/nspady/google-calendar-mcp)** - Google Calendar MCP Server for managing Google calendar events. Also supports searching for events by attributes like title and location.
- **[Google Custom Search](https://github.com/adenot/mcp-google-search)** - Provides Google Search results via the Google Custom Search API
- **[Google Tasks](https://github.com/zcaceres/gtasks-mcp)** - Google Tasks API Model Context Protocol Server.
- **[GraphQL Schema](https://github.com/hannesj/mcp-graphql-schema)** - Allow LLMs to explore large GraphQL schemas without bloating the context.
- **[HDW LinkedIn](https://github.com/horizondatawave/hdw-mcp-server)** - Access to profile data and management of user account with [HorizonDataWave.ai](https://horizondatawave.ai/).
- **[Heurist Mesh Agent](https://github.com/heurist-network/heurist-mesh-mcp-server)** - Access specialized web3 AI agents for blockchain analysis, smart contract security, token metrics, and blockchain interactions through the [Heurist Mesh network](https://github.com/heurist-network/heurist-agent-framework/tree/main/mesh).
- **[Holaspirit](https://github.com/syucream/holaspirit-mcp-server)** - Interact with [Holaspirit](https://www.holaspirit.com/).
- **[Home Assistant](https://github.com/tevonsb/homeassistant-mcp)** - Interact with [Home Assistant](https://www.home-assistant.io/) including viewing and controlling lights, switches, sensors, and all other Home Assistant entities.
- **[HubSpot](https://github.com/buryhuang/mcp-hubspot)** - HubSpot CRM integration for managing contacts and companies. Create and retrieve CRM data directly through Claude chat.
- **[HuggingFace Spaces](https://github.com/evalstate/mcp-hfspace)** - Server for using HuggingFace Spaces, supporting Open Source Image, Audio, Text Models and more. Claude Desktop mode for easy integration.
- **[Hyperliquid](https://github.com/mektigboy/server-hyperliquid)** - An MCP server implementation that integrates the Hyperliquid SDK for exchange data.
- **[Image Generation](https://github.com/GongRzhe/Image-Generation-MCP-Server)** - This MCP server provides image generation capabilities using the Replicate Flux model.
- **[InfluxDB](https://github.com/idoru/influxdb-mcp-server)** - Run queries against InfluxDB OSS API v2.
- **[Inoyu](https://github.com/sergehuber/inoyu-mcp-unomi-server)** - Interact with an Apache Unomi CDP customer data platform to retrieve and update customer profiles
- **[Intercom](https://github.com/raoulbia-ai/mcp-server-for-intercom)** - An MCP-compliant server for retrieving customer support tickets from Intercom. This tool enables AI assistants like Claude Desktop and Cline to access and analyze your Intercom support tickets.
- **[iTerm MCP](https://github.com/ferrislucas/iterm-mcp)** - Integration with iTerm2 terminal emulator for macOS, enabling LLMs to execute and monitor terminal commands.
- **[JavaFX](https://github.com/mcpso/mcp-server-javafx)** - Make drawings using a JavaFX canvas
- **[JDBC](https://github.com/quarkiverse/quarkus-mcp-servers/tree/main/jdbc)** - Connect to any JDBC-compatible database and query, insert, update, delete, and more. Supports MySQL, PostgreSQL, Oracle, SQL Server, sqllite and [more](https://github.com/quarkiverse/quarkus-mcp-servers/tree/main/jdbc#supported-jdbc-variants).
- **[JSON](https://github.com/GongRzhe/JSON-MCP-Server)** - JSON handling and processing server with advanced query capabilities using JSONPath syntax and support for array, string, numeric, and date operations.
- **[Keycloak MCP](https://github.com/ChristophEnglisch/keycloak-model-context-protocol)** - This MCP server enables natural language interaction with Keycloak for user and realm management including creating, deleting, and listing users and realms.
- **[Kibela](https://github.com/kiwamizamurai/mcp-kibela-server)** (by kiwamizamurai) - Interact with Kibela API.
- **[kintone](https://github.com/macrat/mcp-server-kintone)** - Manage records and apps in [kintone](https://kintone.com) through LLM tools.
- **[Kubernetes](https://github.com/Flux159/mcp-server-kubernetes)** - Connect to Kubernetes cluster and manage pods, deployments, and services.
- **[Kubernetes and OpenShift](https://github.com/manusa/kubernetes-mcp-server)** - A powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for any Kubernetes resource, this server provides specialized tools to interact with your cluster.
- **[Langflow-DOC-QA-SERVER](https://github.com/GongRzhe/Langflow-DOC-QA-SERVER)** - A Model Context Protocol server for document Q&A powered by Langflow. It demonstrates core MCP concepts by providing a simple interface to query documents through a Langflow backend.
- **[Lightdash](https://github.com/syucream/lightdash-mcp-server)** - Interact with [Lightdash](https://www.lightdash.com/), a BI tool.
- **[Linear](https://github.com/jerhadf/linear-mcp-server)** - Allows LLM to interact with Linear's API for project management, including searching, creating, and updating issues.
- **[LINE](https://github.com/amornpan/py-mcp-line)** (by amornpan) - Implementation for LINE Bot integration that enables Language Models to read and analyze LINE conversations through a standardized interface. Features asynchronous operation, comprehensive logging, webhook event handling, and support for various message types.
- **[LlamaCloud](https://github.com/run-llama/mcp-server-llamacloud)** (by marcusschiesser) - Integrate the data stored in a managed index on [LlamaCloud](https://cloud.llamaindex.ai/)
- **[llm-context](https://github.com/cyberchitta/llm-context.py)** - Provides a repo-packing MCP tool with configurable profiles that specify file inclusion/exclusion patterns and optional prompts.
- **[mac-messages-mcp](https://github.com/carterlasalle/mac_messages_mcp)** - An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robust phone number validation, attachment processing, contact management, group chat handling, and full support for sending and receiving messages.
- **[MariaDB](https://github.com/abel9851/mcp-server-mariadb)** - MariaDB database integration with configurable access controls in Python.
- **[MCP Compass](https://github.com/liuyoshio/mcp-compass)** - Suggest the right MCP server for your needs
- **[MCP Create](https://github.com/tesla0225/mcp-create)** - A dynamic MCP server management service that creates, runs, and manages Model Context Protocol servers on-the-fly.
- **[MCP Installer](https://github.com/anaisbetts/mcp-installer)** - This server is a server that installs other MCP servers for you.
- **[mcp-k8s-go](https://github.com/strowk/mcp-k8s-go)** - Golang-based Kubernetes server for MCP to browse pods and their logs, events, namespaces and more. Built to be extensible.
- **[mcp-local-rag](https://github.com/nkapila6/mcp-local-rag)** - "primitive" RAG-like web search model context protocol (MCP) server that runs locally using Google's MediaPipe Text Embedder and DuckDuckGo Search. ✨ no APIs required ✨.
- **[mcp-proxy](https://github.com/sparfenyuk/mcp-proxy)** - Connect to MCP servers that run on SSE transport, or expose stdio servers as an SSE server.
- **[mem0-mcp](https://github.com/mem0ai/mem0-mcp)** - A Model Context Protocol server for Mem0, which helps with managing coding preferences.
- **[MSSQL](https://github.com/aekanun2020/mcp-server/)** - MSSQL database integration with configurable access controls and schema inspection
- **[MSSQL](https://github.com/JexinSam/mssql_mcp_server)** (by jexin) - MCP Server for MSSQL database in Python
- **[MSSQL-Python](https://github.com/amornpan/py-mcp-mssql)** (by amornpan) - A read-only Python implementation for MSSQL database access with enhanced security features, configurable access controls, and schema inspection capabilities. Focuses on safe database interaction through Python ecosystem.
- **[MSSQL-MCP](https://github.com/daobataotie/mssql-mcp)** (by daobataotie) - MSSQL MCP that refer to the official website's SQLite MCP for modifications to adapt to MSSQL
- **[Markdownify](https://github.com/zcaceres/mcp-markdownify-server)** - MCP to convert almost anything to Markdown (PPTX, HTML, PDF, Youtube Transcripts and more)
- **[Minima](https://github.com/dmayboroda/minima)** - MCP server for RAG on local files
- **[MongoDB](https://github.com/kiliczsh/mcp-mongo-server)** - A Model Context Protocol Server for MongoDB.
- **[Monday.com](https://github.com/sakce/mcp-server-monday)** - MCP Server to interact with Monday.com boards and items.
- **[Multicluster-MCP-Sever](https://github.com/yanmxa/multicluster-mcp-server)** - The gateway for GenAI systems to interact with multiple Kubernetes clusters.
- **[MySQL](https://github.com/benborla/mcp-server-mysql)** (by benborla) - MySQL database integration in NodeJS with configurable access controls and schema inspection
- **[MySQL](https://github.com/designcomputer/mysql_mcp_server)** (by DesignComputer) - MySQL database integration in Python with configurable access controls and schema inspection
- **[n8n](https://github.com/leonardsellem/n8n-mcp-server)** - This MCP server provides tools and resources for AI assistants to manage n8n workflows and executions, including listing, creating, updating, and deleting workflows, as well as monitoring their execution status.
- **[NASA](https://github.com/ProgramComputer/NASA-MCP-server)** (by ProgramComputer) - Access to a unified gateway of NASA's data sources including but not limited to APOD, NEO, EPIC, GIBS.
- **[NS Travel Information](https://github.com/r-huijts/ns-mcp-server)** - Access Dutch Railways (NS) real-time train travel information and disruptions through the official NS API.
- **[Neo4j](https://github.com/da-okazaki/mcp-neo4j-server)** - A community built server that interacts with Neo4j Graph Database.
- **[Neovim](https://github.com/bigcodegen/mcp-neovim-server)** - An MCP Server for your Neovim session.
- **[Notion](https://github.com/suekou/mcp-notion-server)** (by suekou) - Interact with Notion API.
- **[Notion](https://github.com/v-3/notion-server)** (by v-3) - Notion MCP integration. Search, Read, Update, and Create pages through Claude chat.
- **[oatpp-mcp](https://github.com/oatpp/oatpp-mcp)** - C++ MCP integration for Oat++. Use [Oat++](https://oatpp.io) to build MCP servers.
- **[Obsidian Markdown Notes](https://github.com/calclavia/mcp-obsidian)** - Read and search through your Obsidian vault or any directory containing Markdown notes
- **[obsidian-mcp](https://github.com/StevenStavrakis/obsidian-mcp)** - (by Steven Stavrakis) An MCP server for Obsidian.md with tools for searching, reading, writing, and organizing notes.
- **[OceanBase](https://github.com/yuanoOo/oceanbase_mcp_server)** - (by yuanoOo) A Model Context Protocol (MCP) server that enables secure interaction with OceanBase databases.
- **[Okta](https://github.com/kapilduraphe/okta-mcp-server)** - Interact with Okta API.
- **[OneNote](https://github.com/rajvirtual/MCP-Servers/tree/master/onenote)** - (by Rajesh Vijay) An MCP server that connects to Microsoft OneNote using the Microsoft Graph API. Reading notebooks, sections, and pages from OneNote,Creating new notebooks, sections, and pages in OneNote.
- **[OpenAI WebSearch MCP](https://github.com/ConechoAI/openai-websearch-mcp)** - This is a Python-based MCP server that provides OpenAI `web_search` build-in tool.
- **[OpenAPI](https://github.com/snaggle-ai/openapi-mcp-server)** - Interact with [OpenAPI](https://www.openapis.org/) APIs.
- **[OpenAPI Schema](https://github.com/hannesj/mcp-openapi-schema)** - Allow LLMs to explore large [OpenAPI](https://www.openapis.org/) schemas without bloating the context.
- **[OpenCTI](https://github.com/Spathodea-Network/opencti-mcp)** - Interact with OpenCTI platform to retrieve threat intelligence data including reports, indicators, malware and threat actors.
- **[OpenDota](https://github.com/asusevski/opendota-mcp-server)** - Interact with OpenDota API to retrieve Dota 2 match data, player statistics, and more.
- **[OpenRPC](https://github.com/shanejonas/openrpc-mpc-server)** - Interact with and discover JSON-RPC APIs via [OpenRPC](https://open-rpc.org).
- **[Open Strategy Partners Marketing Tools](https://github.com/open-strategy-partners/osp_marketing_tools)** - Content editing codes, value map, and positioning tools for product marketing.
- **[Pandoc](https://github.com/vivekVells/mcp-pandoc)** - MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, PDF, DOCX (.docx), csv and more.
- **[PIF](https://github.com/hungryrobot1/MCP-PIF)** - A Personal Intelligence Framework (PIF), providing tools for file operations, structured reasoning, and journal-based documentation to support continuity and evolving human-AI collaboration across sessions.
- **[Pinecone](https://github.com/sirmews/mcp-pinecone)** - MCP server for searching and uploading records to Pinecone. Allows for simple RAG features, leveraging Pinecone's Inference API.
- **[Placid.app](https://github.com/felores/placid-mcp-server)** - Generate image and video creatives using Placid.app templates
- **[Playwright](https://github.com/executeautomation/mcp-playwright)** - This MCP Server will help you run browser automation and webscraping using Playwright
- **[Postman](https://github.com/shannonlal/mcp-postman)** - MCP server for running Postman Collections locally via Newman. Allows for simple execution of Postman Server and returns the results of whether the collection passed all the tests.
- **[Productboard](https://github.com/kenjihikmatullah/productboard-mcp)** - Integrate the Productboard API into agentic workflows via MCP.
- **[Pushover](https://github.com/ashiknesin/pushover-mcp)** - Send instant notifications to your devices using [Pushover.net](https://pushover.net/)
- **[QGIS](https://github.com/jjsantos01/qgis_mcp)** - connects QGIS to Claude AI through the MCP. This integration enables prompt-assisted project creation, layer loading, code execution, and more.
- **[QuickChart](https://github.com/GongRzhe/Quickchart-MCP-Server)** - A Model Context Protocol server for generating charts using QuickChart.io
- **[Qwen_Max](https://github.com/66julienmartin/MCP-server-Qwen_Max)** - A Model Context Protocol (MCP) server implementation for the Qwen models.
- **[RabbitMQ](https://github.com/kenliao94/mcp-server-rabbitmq)** - The MCP server that interacts with RabbitMQ to publish and consume messages.
- **[RAG Web Browser](https://github.com/apify/mcp-server-rag-web-browser)** An MCP server for Apify's open-source RAG Web Browser [Actor](https://apify.com/apify/rag-web-browser) to perform web searches, scrape URLs, and return content in Markdown.
- **[Reaper](https://github.com/dschuler36/reaper-mcp-server)** - Interact with your [Reaper](https://www.reaper.fm/) (Digital Audio Workstation) projects.
- **[Redis](https://github.com/GongRzhe/REDIS-MCP-Server)** - Redis database operations and caching microservice server with support for key-value operations, expiration management, and pattern-based key listing.
- **[Redis](https://github.com/prajwalnayak7/mcp-server-redis)** MCP server to interact with Redis Server, AWS Memory DB, etc for caching or other use-cases where in-memory and key-value based storage is appropriate
- **[Rememberizer AI](https://github.com/skydeckai/mcp-server-rememberizer)** - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval.
- **[Replicate](https://github.com/deepfates/mcp-replicate)** - Search, run and manage machine learning models on Replicate through a simple tool-based interface. Browse models, create predictions, track their status, and handle generated images.
- **[Rijksmuseum](https://github.com/r-huijts/rijksmuseum-mcp)** - Interface with the Rijksmuseum API to search artworks, retrieve artwork details, access image tiles, and explore user collections.
- **[Salesforce MCP](https://github.com/smn2gnt/MCP-Salesforce)** - Interact with Salesforce Data and Metadata
- **[Scholarly](https://github.com/adityak74/mcp-scholarly)** - A MCP server to search for scholarly and academic articles.
- **[SearXNG](https://github.com/ihor-sokoliuk/mcp-searxng)** - A Model Context Protocol Server for [SearXNG](https://docs.searxng.org)
- **[ServiceNow](https://github.com/osomai/servicenow-mcp)** - A MCP server to interact with a ServiceNow instance
- **[Siri Shortcuts](https://github.com/dvcrn/mcp-server-siri-shortcuts)** - MCP to interact with Siri Shortcuts on macOS. Exposes all Shortcuts as MCP tools.
- **[Snowflake](https://github.com/isaacwasserman/mcp-snowflake-server)** - This MCP server enables LLMs to interact with Snowflake databases, allowing for secure and controlled data operations.
- **[Solana Agent Kit](https://github.com/sendaifun/solana-agent-kit/tree/main/examples/agent-kit-mcp-server)** - This MCP server enables LLMs to interact with the Solana blockchain with help of Solana Agent Kit by SendAI, allowing for 40+ protcool actions and growing
- **[Spotify](https://github.com/varunneal/spotify-mcp)** - This MCP allows an LLM to play and use Spotify.
- **[Starwind UI](https://github.com/Boston343/starwind-ui-mcp/)** - This MCP provides relevant commands, documentation, and other information to allow LLMs to take full advantage of Starwind UI's open source Astro components.
- **[Stripe](https://github.com/atharvagupta2003/mcp-stripe)** - This MCP allows integration with Stripe for handling payments, customers, and refunds.
- **[TMDB](https://github.com/Laksh-star/mcp-server-tmdb)** - This MCP server integrates with The Movie Database (TMDB) API to provide movie information, search capabilities, and recommendations.
- **[Tavily search](https://github.com/RamXX/mcp-tavily)** - An MCP server for Tavily's search & news API, with explicit site inclusions/exclusions
- **[Terminal-Control](https://github.com/GongRzhe/terminal-controller-mcp)** - A MCP server that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface.
- **[Ticketmaster](https://github.com/delorenj/mcp-server-ticketmaster)** - Search for events, venues, and attractions through the Ticketmaster Discovery API
- **[Todoist](https://github.com/abhiz123/todoist-mcp-server)** - Interact with Todoist to manage your tasks.
- **[Typesense](https://github.com/suhail-ak-s/mcp-typesense-server)** - A Model Context Protocol (MCP) server implementation that provides AI models with access to Typesense search capabilities. This server enables LLMs to discover, search, and analyze data stored in Typesense collections.
- **[Travel Planner](https://github.com/GongRzhe/TRAVEL-PLANNER-MCP-Server)** - Travel planning and itinerary management server integrating with Google Maps API for location search, place details, and route calculations.
- **[Unity Catalog](https://github.com/ognis1205/mcp-server-unitycatalog)** - An MCP server that enables LLMs to interact with Unity Catalog AI, supporting CRUD operations on Unity Catalog Functions and executing them as MCP tools.
- **[Vega-Lite](https://github.com/isaacwasserman/mcp-vegalite-server)** - Generate visualizations from fetched data using the VegaLite format and renderer.
- **[Video Editor](https://github.com/burningion/video-editing-mcp)** - A Model Context Protocol Server to add, edit, and search videos with [Video Jungle](https://www.video-jungle.com/).
- **[Virtual location (Google Street View,etc.)](https://github.com/mfukushim/map-traveler-mcp)** - Integrates Google Map, Google Street View, PixAI, Stability.ai, ComfyUI API and Bluesky to provide a virtual location simulation in LLM (written in Effect.ts)
- **[VolcEngine TOS](https://github.com/dinghuazhou/sample-mcp-server-tos)** - A sample MCP server for VolcEngine TOS that flexibly get objects from TOS.
- **[Wanaku MCP Router](https://github.com/wanaku-ai/wanaku/)** - The Wanaku MCP Router is a SSE-based MCP server that provides an extensible routing engine that allows integrating your enterprise systems with AI agents.
- **[Webflow](https://github.com/kapilduraphe/webflow-mcp-server)** - Interfact with the Webflow APIs
- **[WildFly MCP](https://github.com/wildfly-extras/wildfly-mcp)** - WildFly MCP server that enables LLM to interact with running WildFly servers (retrieve metrics, logs, invoke operations, ...).
- **[Windows CLI](https://github.com/SimonB97/win-cli-mcp-server)** - MCP server for secure command-line interactions on Windows systems, enabling controlled access to PowerShell, CMD, and Git Bash shells.
- **[World Bank data API](https://github.com/anshumax/world_bank_mcp_server)** - A server that fetches data indicators available with the World Bank as part of their data API
- **[X (Twitter)](https://github.com/EnesCinr/twitter-mcp)** (by EnesCinr) - Interact with twitter API. Post tweets and search for tweets by query.
- **[X (Twitter)](https://github.com/vidhupv/x-mcp)** (by vidhupv) - Create, manage and publish X/Twitter posts directly through Claude chat.
- **[xcodebuild](https://github.com/ShenghaiWang/xcodebuild)** - 🍎 Build iOS Xcode workspace/project and feed back errors to llm.
- **[XMind](https://github.com/apeyroux/mcp-xmind)** - Read and search through your XMind directory containing XMind files.
- **[YouTube](https://github.com/ZubeidHendricks/youtube-mcp-server)** - Comprehensive YouTube API integration for video management, Shorts creation, and analytics.
## 📚 Frameworks
These are high-level frameworks that make it easier to build MCP servers or clients.
### For servers
* **[EasyMCP](https://github.com/zcaceres/easy-mcp/)** (TypeScript)
- **[FastAPI to MCP auto generator](https://github.com/tadata-org/fastapi_mcp)** – A zero-configuration tool for automatically exposing FastAPI endpoints as MCP tools by **[Tadata](https://tadata.com/)**
* **[FastMCP](https://github.com/punkpeye/fastmcp)** (TypeScript)
* **[Foxy Contexts](https://github.com/strowk/foxy-contexts)** – A library to build MCP servers in Golang by **[strowk](https://github.com/strowk)**
* **[MCP-Framework](https://mcp-framework.com)** Build MCP servers with elegance and speed in Typescript. Comes with a CLI to create your project with `mcp create app`. Get started with your first server in under 5 minutes by **[Alex Andru](https://github.com/QuantGeekDev)**
* **[Quarkus MCP Server SDK](https://github.com/quarkiverse/quarkus-mcp-server)** (Java)
* **[Template MCP Server](https://github.com/mcpdotdirect/template-mcp-server)** - A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure
### For clients
* **[codemirror-mcp](https://github.com/marimo-team/codemirror-mcp)** - CodeMirror extension that implements the Model Context Protocol (MCP) for resource mentions and prompt commands
## 📚 Resources
Additional resources on MCP.
- **[AiMCP](https://www.aimcp.info)** - A collection of MCP clients&servers to find the right mcp tools by **[Hekmon](https://github.com/hekmon8)**
- **[Awesome Crypto MCP Servers by badkk](https://github.com/badkk/awesome-crypto-mcp-servers)** - A curated list of MCP servers by **[Luke Fan](https://github.com/badkk)**
- **[Awesome MCP Servers by appcypher](https://github.com/appcypher/awesome-mcp-servers)** - A curated list of MCP servers by **[Stephen Akinyemi](https://github.com/appcypher)**
- **[Awesome MCP Servers by punkpeye](https://github.com/punkpeye/awesome-mcp-servers)** (**[website](https://glama.ai/mcp/servers)**) - A curated list of MCP servers by **[Frank Fiegel](https://github.com/punkpeye)**
- **[Awesome MCP Servers by wong2](https://github.com/wong2/awesome-mcp-servers)** (**[website](https://mcpservers.org)**) - A curated list of MCP servers by **[wong2](https://github.com/wong2)**
- **[Discord Server](https://glama.ai/mcp/discord)** – A community discord server dedicated to MCP by **[Frank Fiegel](https://github.com/punkpeye)**
- **[Discord Server (ModelContextProtocol)](https://discord.gg/jHEGxQu2a5)** – Connect with developers, share insights, and collaborate on projects in an active Discord community dedicated to the Model Context Protocol by **[Alex Andru](https://github.com/QuantGeekDev)**
- **[MCP Badges](https://github.com/mcpx-dev/mcp-badges)** – Quickly highlight your MCP project with clear, eye-catching badges, by **[Ironben](https://github.com/nanbingxyz)**
- **[MCP Servers Hub](https://github.com/apappascs/mcp-servers-hub)** (**[website](https://mcp-servers-hub-website.pages.dev/)**) - A curated list of MCP servers by **[apappascs](https://github.com/apappascs)**
- **[MCP X Community](https://x.com/i/communities/1861891349609603310)** – A X community for MCP by **[Xiaoyi](https://x.com/chxy)**
- **[mcp-cli](https://github.com/wong2/mcp-cli)** - A CLI inspector for the Model Context Protocol by **[wong2](https://github.com/wong2)**
- **[mcp-get](https://mcp-get.com)** - Command line tool for installing and managing MCP servers by **[Michael Latman](https://github.com/michaellatman)**
- **[mcp-guardian](https://github.com/eqtylab/mcp-guardian)** - GUI application + tools for proxying / managing control of MCP servers by **[EQTY Lab](https://eqtylab.io)**
- **[mcp-manager](https://github.com/zueai/mcp-manager)** - Simple Web UI to install and manage MCP servers for Claude Desktop by **[Zue](https://github.com/zueai)**
- **[MCPHub](https://github.com/Jeamee/MCPHub-Desktop)** – An Open Source MacOS & Windows GUI Desktop app for discovering, installing and managing MCP servers by **[Jeamee](https://github.com/jeamee)**
- **[mcp.run](https://mcp.run)** - A hosted registry and control plane to install & run secure + portable MCP Servers.
- <img height="12" width="12" src="https://mkinf.io/favicon-lilac.png" alt="mkinf Logo" /> **[mkinf](https://mkinf.io)** - An Open Source registry of hosted MCP Servers to accelerate AI agent workflows.
- **[Open-Sourced MCP Servers Directory](https://github.com/chatmcp/mcp-directory)** - A curated list of MCP servers by **[mcpso](https://mcp.so)**
- <img height="12" width="12" src="https://opentools.com/favicon.ico" alt="OpenTools Logo" /> **[OpenTools](https://opentools.com)** - An open registry for finding, installing, and building with MCP servers by **[opentoolsteam](https://github.com/opentoolsteam)**
- **[PulseMCP](https://www.pulsemcp.com)** ([API](https://www.pulsemcp.com/api)) - Community hub & weekly newsletter for discovering MCP servers, clients, articles, and news by **[Tadas Antanavicius](https://github.com/tadasant)**, **[Mike Coughlin](https://github.com/macoughl)**, and **[Ravina Patel](https://github.com/ravinahp)**
- **[r/mcp](https://www.reddit.com/r/mcp)** – A Reddit community dedicated to MCP by **[Frank Fiegel](https://github.com/punkpeye)**
- **[r/modelcontextprotocol](https://www.reddit.com/r/modelcontextprotocol)** – A Model Context Protocol community Reddit page - discuss ideas, get answers to your questions, network with like-minded people, and showcase your projects! by **[Alex Andru](https://github.com/QuantGeekDev)**
- **[Smithery](https://smithery.ai/)** - A registry of MCP servers to find the right tools for your LLM agents by **[Henry Mao](https://github.com/calclavia)**
- **[Toolbase](https://gettoolbase.ai)** - Desktop application that manages tools and MCP servers with just a few clicks - no coding required by **[gching](https://github.com/gching)**
## 🚀 Getting Started
### Using MCP Servers in this Repository
Typescript-based servers in this repository can be used directly with `npx`.
For example, this will start the [Memory](src/memory) server:
```sh
npx -y @modelcontextprotocol/server-memory
```
Python-based servers in this repository can be used directly with [`uvx`](https://docs.astral.sh/uv/concepts/tools/) or [`pip`](https://pypi.org/project/pip/). `uvx` is recommended for ease of use and setup.
For example, this will start the [Git](src/git) server:
```sh
# With uvx
uvx mcp-server-git
# With pip
pip install mcp-server-git
python -m mcp_server_git
```
Follow [these](https://docs.astral.sh/uv/getting-started/installation/) instructions to install `uv` / `uvx` and [these](https://pip.pypa.io/en/stable/installation/) to install `pip`.
### Using an MCP Client
However, running a server on its own isn't very useful, and should instead be configured into an MCP client. For example, here's the Claude Desktop configuration to use the above server:
```json
{
"mcpServers": {
"memory": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-memory"]
}
}
}
```
Additional examples of using the Claude Desktop as an MCP client might look like:
```json
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/files"]
},
"git": {
"command": "uvx",
"args": ["mcp-server-git", "--repository", "path/to/git/repo"]
},
"github": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-github"],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "<YOUR_TOKEN>"
}
},
"postgres": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-postgres", "postgresql://localhost/mydb"]
}
}
}
```
## 🛠️ Creating Your Own Server
Interested in creating your own MCP server? Visit the official documentation at [modelcontextprotocol.io](https://modelcontextprotocol.io/introduction) for comprehensive guides, best practices, and technical details on implementing MCP servers.
## 🤝 Contributing
See [CONTRIBUTING.md](CONTRIBUTING.md) for information about contributing to this repository.
## 🔒 Security
See [SECURITY.md](SECURITY.md) for reporting security vulnerabilities.
## 📜 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 💬 Community
- [GitHub Discussions](https://github.com/orgs/modelcontextprotocol/discussions)
## ⭐ Support
If you find MCP servers useful, please consider starring the repository and contributing new servers or improvements!
---
Managed by Anthropic, but built together with the community. The Model Context Protocol is open source and we encourage everyone to contribute their own servers and improvements!
</file>
<file path="SECURITY.md">
# Security Policy
Thank you for helping us keep our MCP servers secure.
These servers are maintained by [Anthropic](https://www.anthropic.com/) as part of the Model Context Protocol project.
The security of our systems and user data is Anthropic’s top priority. We appreciate the work of security researchers acting in good faith in identifying and reporting potential vulnerabilities.
## Vulnerability Disclosure Program
Our Vulnerability Program guidelines are defined on our [HackerOne program page](https://hackerone.com/anthropic-vdp). We ask that any validated vulnerability in this functionality be reported through the [submission form](https://hackerone.com/anthropic-vdp/reports/new?type=team&report_type=vulnerability).
</file>
<file path="tsconfig.json">
{
"compilerOptions": {
"target": "ES2022",
"module": "Node16",
"moduleResolution": "Node16",
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true,
"forceConsistentCasingInFileNames": true,
"resolveJsonModule": true
},
"include": ["src/**/*"],
"exclude": ["node_modules"]
}
</file>
</files>