GitHub MCP Server

@goyle0

Repository

Basic information

About GitHub MCP Server

No overview available yet

#github #mcp #api-server

GitHub MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

GitHub MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is GitHub MCP Server?

GitHub MCP Server is an API server built with FastAPI that integrates GitHub with MCP (Managed Cloud Platform). It provides various endpoints for managing data and services between the two platforms.

How to use GitHub MCP Server?

Clone the repository, install dependencies with pip install -r requirements.txt, configure environment variables (see .env.example), then run uvicorn app.main:app --reload. Tests can be executed with pytest.

Key features of GitHub MCP Server

Built with FastAPI for high-performance APIs
Configuration management via environment variables
Database connection and session management
Modular architecture: endpoints, services, models, schemas
Dependency injection for clean separation of concerns
Comprehensive test suite for API and services

Use cases of GitHub MCP Server

Synchronize GitHub repositories and resources with MCP
Expose GitHub data through a managed API for MCP integration
Automate GitHub management via the MCP server endpoints
Build custom workflows combining GitHub and MCP capabilities

Frequently asked questions

What does GitHub MCP Server do?

It is an API server that integrates GitHub with MCP (Managed Cloud Platform), providing endpoints to manage data and services between the two.

What are the runtime requirements?

Python is required, along with dependencies listed in `requirements.txt`. Environment variables must be set as shown in `.env.example`.

How can I test the server?

Run `pytest` from the project root to execute the API and service tests.

What license is this project under?

The project is provided under the MIT License (see `LICENSE` file).

Comments

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