What are the runtime dependencies?
Python 3.10+ and Pydantic 2 are required. Flask, Gunicorn, and Redis are optional for web server, production deployment, and response queuing respectively.
@fulfilio
基本情報
Python utilities to work with MCP servers
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-utils": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"mcp-proxy",
"--client",
"claude"
]
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
mcp-utils is a Python utility package for building Model Context Protocol (MCP) servers, focused on synchronous implementations using Flask. It provides helpers, decorators, and Pydantic models for developers integrating MCP into existing Python applications without asynchronous code.
Install with pip install mcp-utils. Create an MCPServer instance, decorate handlers with @mcp.tool() or @mcp.prompt(), and handle incoming requests via mcp.handle_message(). For production, deploy with Flask and Gunicorn.
Python 3.10+ and Pydantic 2 are required. Flask, Gunicorn, and Redis are optional for web server, production deployment, and response queuing respectively.
No, mcp-utils is explicitly designed for synchronous implementations. For async MCP servers, consider the MCP Python SDK.
Claude Desktop does not natively support SSE/HTTP; use `mcp-proxy` (installable via PyPI or Smithery) to bridge stdio with the server's SSE endpoint.
Yes, the README provides Flask examples with Streamable HTTP and optional SQLAlchemy transaction handling, plus a Gunicorn deployment example.
Use the MCP Inspector (`npm install -g @modelcontextprotocol/inspector`) to open a web interface, point it to your server’s SSE URL, and send test messages.
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