GitHub MCP Server
by FixingPixels
A Model Context Protocol (MCP) server for GitHub repositories, built using the Python SDK. It allows AI assistants to access repository context such as files, commits, issues, and pull requests.
Last updated: N/A
What is GitHub MCP Server?
This server implements the Model Context Protocol (MCP) for GitHub repositories, enabling AI assistants to access repository context like files, commits, issues, and pull requests. It's built using the MCP Python SDK and designed for deployment on Heroku.
How to use GitHub MCP Server?
To use the server, first clone the repository, create a virtual environment, install dependencies, and set up environment variables with your GitHub API token. For local development, run uvicorn src.mcp_server.main:app --reload. For deployment, follow the deployment documentation for Heroku.
Key features of GitHub MCP Server
Access GitHub 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
Integrating GitHub repository context into AI assistants
Automated code analysis and review
Intelligent issue triaging and resolution
Enhanced code search and discovery
FAQ from GitHub MCP Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standard for providing context to AI models.
What is the Python SDK?
What is the Python SDK?
The MCP Python SDK is a library that simplifies the implementation of MCP servers and clients in Python.
How do I get a GitHub API token?
How do I get a GitHub API token?
You can create a personal access token on GitHub with the appropriate permissions.
Can I deploy this server on other platforms besides Heroku?
Can I deploy this server on other platforms besides Heroku?
Yes, but the provided deployment guide is specifically for Heroku. You may need to adapt the deployment process for other platforms.
Where can I find the API documentation?
Where can I find the API documentation?
The API documentation is located in the docs/api.md file.