GitHub MCP Server

@DivyanshKushwaha

代码仓库

基本信息

分类

版本控制

传输方式

stdio

作者

DivyanshKushwaha

关于 GitHub MCP Server

暂无概览

#github #mcp #api #python

GitHub MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

GitHub MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

常见问题

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.

Are there any known limitations?

The README does not mention specific limits. The server relies on GitHub REST API rate limits and the token’s permissions.

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