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.
@snehaapratap
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-snehaapratap": {
"command": "python3",
"args": [
"-m",
"venv",
"venv"
]
}
}
}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。
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.
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.
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.
Set the `GITHUB_TOKEN` environment variable in a `.env` file with your GitHub Personal Access Token (PAT) that has the `repo` scope.
The server uses HTTP, implemented with FastAPI and Uvicorn.
The server requires Python 3, FastAPI, and other packages listed in `requirements.txt`.
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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