Provides tools for managing and interacting with Docker environments, including container orchestration and service management.
Enables interaction with GitHub services and repositories through a set of integrated tools utilizing a GitHub access token.
Integrates with n8n workflow automation to provide pre-loaded workflows for event handling, daily digests, and nightly scans.
Exposes tools for interacting with Slack workspaces, allowing the AI to manage communication and data across Slack channels.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Caboose MCPsummarize my Slack mentions and today's calendar"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
caboose-mcp
Personal AI toolserver monorepo. Exposes 105 MCP tools to Claude and VS Code via a Go server, with a companion VS Code extension and n8n workflow automation.
Packages
Package | Description |
Go MCP server — 105 tools across 25 groups (focus, slack, docker, calendar, etc.) | |
VS Code sidebar + status bar; connects to the server over stdio or HTTP | |
Custom n8n image with pre-loaded caboose-mcp workflows |
Quick Start (Docker)
# 1. Clone
git clone https://github.com/caboose-mcp/caboose-mcp
cd caboose-mcp
# 2. Configure
cp .env.example .env
# Edit .env — at minimum set SLACK_TOKEN, GITHUB_TOKEN, GPG_KEY_ID
# 3. Start
docker compose -f docker/docker-compose.yml up -d
# MCP server: http://localhost:8080/mcp
# n8n: http://localhost:5678The server mounts your ~/.claude directory so all data (notes, sessions, secrets, audit logs) persists on the host. n8n workflows are auto-imported on first run.
Quick Start (Local / Claude stdio)
# Build the server
cd packages/server
export PATH=$PATH:/usr/local/go/bin
go build -o caboose-mcp .
# Add to Claude's .mcp.json
{
"mcpServers": {
"caboose": {
"type": "stdio",
"command": "/path/to/packages/server/caboose-mcp"
}
}
}VS Code Extension
cd packages/vscode-extension
pnpm install
pnpm compile
# Press F5 in VS Code to launch the extension hostConfigure via Settings → Caboose MCP:
cabooseMcp.transport:http(default) orstdiocabooseMcp.host/cabooseMcp.port: point at the Docker servercabooseMcp.binaryPath: path to the built binary (stdio mode)
n8n Integration
Three workflows are pre-loaded:
Event Receiver — receives
gate_fired,source_changed,focus_started, etc.Daily Digest — 8am: calls
source_digest+si_tech_digestNightly Scan — midnight: calls
si_scan_dir+source_check
See docs/n8n.md for full documentation.
Infrastructure (Terraform)
Provisions AWS resources: IAM user (Bedrock), S3 bucket (cloudsync), ECR repo (Docker images).
cd terraform/aws
cp terraform.tfvars.example terraform.tfvars
# Edit terraform.tfvars
terraform init
terraform plan
terraform applySee terraform/aws/README.md for details.
Development
Root scripts (pnpm)
pnpm build # compile extension + build Go server
pnpm server:build # Go build only
pnpm extension:compile # tsc compile only
pnpm extension:package # package .vsix
pnpm docker:build # docker build
pnpm docker:up # docker compose up -d
pnpm docker:down # docker compose down
pnpm docker:logs # follow compose logsGo server
cd packages/server
go build -o caboose-mcp .
go vet ./...No database or migration step — the server uses flat JSON files under ~/.claude/.
Adding a tool
# From Claude or the extension, call:
tool_scaffold # generates a new tools/mytool.go skeleton
tool_write # writes the file
tool_rebuild # runs go buildOr edit packages/server/tools/ directly and run go build.
Releases
Tag pattern | Action |
| Builds Go binary for linux/amd64 + arm64; pushes Docker image to GHCR |
| Packages |
Repository layout
packages/
server/ Go MCP server
vscode-extension/ VS Code extension (TypeScript)
n8n/ Custom n8n image + pre-built workflow JSON
docker/
Dockerfile Multi-stage Go build → alpine runtime
docker-compose.yml server + n8n services
docs/
n8n.md n8n integration guide
terraform/
aws/ IAM, S3, ECR
.github/workflows/
ci.yml Go vet/build + TS compile on PR
docker.yml Build + push to GHCR on main / server/v* tag
extension.yml Package + release VSIX on extension/v* tagLicense
MIT
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