GitHub MCP Server

What is GitHub MCP Server?

A Model Context Protocol (MCP) server for GitHub repositories, built with the Python SDK. It enables AI assistants to access repository context such as files, commits, issues, and pull requests via the GitHub API.

How to use GitHub MCP Server?

Clone the repository, create a virtual environment, install dependencies, and set environment variables with a GitHub API token. Run locally with uvicorn src.mcp_server.main:app --reload or deploy on Heroku.

Key features of GitHub MCP Server

• Access repository files and content
• Retrieve commit history
• Access issues and pull requests
• Secure authentication and access control
• Rate limiting and caching for GitHub API
• Compatible with MCP-enabled AI assistants

Use cases of GitHub MCP Server

• AI assistant browsing repository source code
• Summarizing recent commits or issue discussions
• Checking pull request status and changes
• Analyzing repository history and metadata

FAQ from GitHub MCP Server

What are the requirements for GitHub MCP Server?

Python 3.8+, a GitHub API token, and optionally a Heroku account for deployment.

How do I set up GitHub MCP Server?

Clone the repo, create a virtual environment, install dependencies from requirements.txt, copy .env.example to .env, and edit it with your GitHub API token.

How do I run GitHub MCP Server locally?

Start the server with uvicorn src.mcp_server.main:app --reload.

How do I deploy GitHub MCP Server?

The server is designed for Heroku; refer to the deployment documentation in docs/deployment.md.

What data does GitHub MCP Server access?

It accesses repository files, content, commit history, issues, and pull requests via the GitHub API.