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GitHub Repository Inspector

by Jehan26 Jehan26/MCP-Inspector-v0.6.0

Integrates with GitHub repositories to enable repository searching, issue management, and pull request handling through authenticated API endpoints that format data for easy access within conversations.

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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

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

Execute Repository Search

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.

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