Skip to main content
Glama
Jehan26

GitHub MCP Server

by Jehan26

MCP-Inspector-v0.6.0

GitHub MCP Server

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with GitHub repositories, issues, and pull requests.

Features

  • Repository Search: Find GitHub repositories based on search queries

  • Issue Management: Get, create, and comment on issues

  • Pull Request Handling: View and manage pull requests

  • Repository Analysis: Get statistics and insights about repositories

Related MCP server: GitHub MCP Server

Installation

Prerequisites

  • Python 3.8+

  • GitHub API token

Steps

  1. Clone this repository:

    git clone https://github.com/yourusername/github-mcp-server.git cd github-mcp-server
  2. Install dependencies:

    pip install -r requirements.txt
  3. Set up your GitHub token as an environment variable:

    export GITHUB_TOKEN=your_github_token_here
  4. Run the server:

    python server.py

The server will start running on http://localhost:5000.

Usage

Endpoints

The MCP server provides the following endpoints:

  • GET /mcp/discover: Returns available operations and their parameters

  • POST /mcp/execute: Executes operations based on provided parameters

Example Requests

Discovery

curl -X GET http://localhost:5000/mcp/discover
curl -X POST http://localhost:5000/mcp/execute \ -H "Content-Type: application/json" \ -d '{ "endpoint": "search_repositories", "parameters": { "query": "machine learning" } }'

Get Repository Issues

curl -X POST http://localhost:5000/mcp/execute \ -H "Content-Type: application/json" \ -d '{ "endpoint": "get_repo_issues", "parameters": { "owner": "openai", "repo": "whisper" } }'

Architecture

The server follows the Model Context Protocol specification to allow AI assistants to:

  1. Discover available operations

  2. Execute operations with appropriate parameters

  3. Process and return results in a structured format

Extending the Server

You can extend this server by:

  1. Adding new endpoints in the discover() function

  2. Implementing corresponding handler functions

  3. Updating the routing in the execute() function

Security Considerations

  • The server uses an API token for authentication with GitHub

  • Implement rate limiting to prevent abuse

  • Add input validation for all parameters

  • Consider implementing OAuth for more secure token management

Demo

See the demo video for a walkthrough of the server's capabilities.

License

MIT License

Contact

For questions or support, please open an issue on this repository.

-
security - not tested
F
license - not found
-
quality - not tested

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Jehan26/MCP-Inspector-v0.6.0'

If you have feedback or need assistance with the MCP directory API, please join our Discord server