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GitHub MCP Server

A Model Context Protocol (MCP) server that provides tools for interacting with GitHub's API. Currently supports creating repositories with descriptions, topics, and website URLs.

Features

  • Create GitHub repositories with auto-generated names from descriptions

  • Add topics/tags to repositories

  • Set repository homepages

  • Auto-initialize repositories with README files

Installation

  1. Clone the repository

  2. Install dependencies:

npm install
  1. Build the server:

npm run build

Configuration

The server requires a GitHub personal access token with repository creation permissions. Add the following to your MCP settings file:

{ "mcpServers": { "github": { "command": "node", "args": ["path/to/github-server/build/index.js"], "env": { "GITHUB_TOKEN": "your-github-token" } } } }

Available Tools

create_repo

Create or update GitHub repositories using natural language commands.

Command Format

The tool accepts natural language commands for different operations:

Creating repositories:

Create a repository for [description] with tags [tag1 tag2 tag3] website [url]

or

Make a new repository called [description] tagged with [tag1, tag2, tag3]

Updating repository description:

Update [owner/repo] description to [new description]

or

Change [repo-name] description as [new description]

Updating repository tags:

Update [owner/repo] tags to [tag1 tag2 tag3]

or

Set [repo-name] topics as [tag1, tag2, tag3]

Updating repository website:

Update [owner/repo] website to [url]

or

Set [repo-name] homepage as [url]

Example Usage

Creating a new repository:

const result = await use_mcp_tool({ server_name: "github", tool_name: "create_repo", arguments: { command: "Create a repository for my machine learning image classifier with tags python tensorflow computer-vision website https://example.com/docs" } });

This will:

  1. Create a repository named "my-machine-learning-image-classifier"

  2. Set the description as "my machine learning image classifier"

  3. Add "python", "tensorflow", and "computer-vision" as repository topics

  4. Set the website to "https://example.com/docs"

  5. Initialize with a README file

Updating repository description:

const result = await use_mcp_tool({ server_name: "github", tool_name: "create_repo", arguments: { command: "Update username/existing-repo description to Updated ML project for image classification" } });

Updating repository tags:

const result = await use_mcp_tool({ server_name: "github", tool_name: "create_repo", arguments: { command: "Update username/existing-repo tags to machine-learning python updated" } });

Updating repository website:

const result = await use_mcp_tool({ server_name: "github", tool_name: "create_repo", arguments: { command: "Update username/existing-repo website to https://example.com/new-docs" } });

The tool understands various natural language patterns and keywords:

  • Create/make/new for creating repositories

  • Update/change/set/modify for updating repositories

  • "description to/as" for updating descriptions

  • "tags/topics to/as" for updating tags

  • "website/homepage/url to/as" for updating websites

Development

To modify or extend the server:

  1. Make changes to src/index.ts

  2. Rebuild the server:

npm run build

License

MIT

Deploy Server
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security – no known vulnerabilities
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license - not found
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quality - confirmed to work

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