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πŸš€ GitHub MCP Server - FastAPI Implementation

@snehaapratap

Overview

What is πŸš€ GitHub MCP Server - FastAPI Implementation?

This server implements a Model Context Protocol (MCP) server using FastAPI, enabling AI assistants like Claude to interact with GitHub. It provides API endpoints to fetch user details, manage repositories, create issues, and automate GitHub workflows.

How to use πŸš€ GitHub MCP Server - FastAPI Implementation?

Clone the repository, create a virtual environment, install dependencies, and set your GITHUB_TOKEN environment variable. Then run uvicorn server:app --reload to start the server on http://127.0.0.1:8000. Use the provided API endpoints via cURL or an AI assistant.

Key features of πŸš€ GitHub MCP Server - FastAPI Implementation

  • Fetch GitHub user details and repositories
  • Create and manage issues in repositories
  • List all issues in a repository
  • Star a repository
  • AI-powered GitHub Issue Summarization (optional)
  • Secure API with GitHub OAuth Token
  • Asynchronous FastAPI implementation

Use cases of πŸš€ GitHub MCP Server - FastAPI Implementation

  • AI assistants fetching GitHub user profiles and repo lists
  • Automated creation of issues in repositories
  • Listing open issues for project management
  • Starring repositories directly from a conversational interface
  • Summarizing repository issues using AI (optional)

FAQ from πŸš€ GitHub MCP Server - FastAPI Implementation

What is the purpose of the server?

It enables AI assistants like Claude to interact with GitHub by providing a set of API endpoints for user details, repository management, issues, and starring.

How do I authenticate the server?

Set the GITHUB_TOKEN environment variable in a .env file with your GitHub Personal Access Token (PAT) that has the repo scope.

What transport protocol does the server use?

The server uses HTTP, implemented with FastAPI and Uvicorn.

What are the runtime dependencies?

The server requires Python 3, FastAPI, and other packages listed in requirements.txt.

How does the server handle errors?

It returns meaningful error messages with a hint, for example an invalid token suggests ensuring the token has the repo scope.

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