GitHub MCP Server

Name: GitHub MCP Server
Author: DivyanshKushwaha

@DivyanshKushwaha

リポジトリ

GitHub MCP Server について

概要はまだありません

#github #mcp #api #python

基本情報

カテゴリ

バージョン管理

ランタイム

python

トランスポート

stdio

公開者

DivyanshKushwaha

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "GitHub-MCP-Server-Claude": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is GitHub MCP Server?

GitHub MCP Server is an API-based tool that interacts with GitHub using the MCP (Modular Command Processor) framework. It provides functionalities for fetching user details, repository information, and authenticated user data via GitHub’s REST API. The server is built with Python, using FastMCP for modular command processing and httpx for asynchronous API calls.

How to use GitHub MCP Server?

Clone the repository, create a Python virtual environment (Python ≥3.10 required), install dependencies from requirements.txt, set your GitHub personal access token in a .env file (key GITHUB_TOKEN), and configure claude_desktop_config.json to point to the server script. Launch the Claude Desktop application to invoke the server.

Key features of GitHub MCP Server

Fetch GitHub user information by username.
Retrieve details of a GitHub repository.
Get authenticated user details using a personal access token.
Built on FastMCP for modular command processing.
Uses environment variables for secure token handling.

Use cases of GitHub MCP Server

Query GitHub user profiles programmatically within a Claude Desktop session.
Get repository metadata (e.g., description, stars, owner) for analysis.
Retrieve authenticated user’s own GitHub data for task automation.
Integrate GitHub data retrieval into MCP-based workflows.

FAQ from GitHub MCP Server

What does GitHub MCP Server do?

It exposes MCP tools that call the GitHub REST API to fetch user details, repository information, and authenticated user data.

What are the runtime requirements?

Python 3.10 or later, a GitHub personal access token, and a virtual environment (conda or venv). Dependencies are listed in requirements.txt.

Where is my data stored?

All data is fetched live from GitHub’s REST API and is not persisted locally beyond the current session. The token is stored in a local .env file.

Which transport or authentication does it use?

The server uses the MCP transport configured via claude_desktop_config.json (likely stdio). Authentication is done via a GitHub personal access token stored in the .env file.