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
基本情報
概要はまだありません
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": {
"mcp-server-snehaapratap": {
"command": "python3",
"args": [
"-m",
"venv",
"venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
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。
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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