USDA Nutrition MCP Server

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その他

トランスポート

stdio

作者

zen-apps

投稿者

Josh Janzen

USDA Nutrition MCP Server について

Professional MCP server providing access to 600k+ foods from USDA FoodData Central. Features dual architecture (MCP + HTTP API), three deployment options (hosted/local/custom), and production-ready tools for nutrition analysis, food comparison, and dietary planning.

#nutrition #food #health #usda #api #production #python #fastapi

USDA Nutrition MCP Server の設定

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": {
    "usda-nutrition": {
      "command": "python3",
      "args": [
        "/path/to/downloaded/mcp_bridge.py"
      ]
    }
  }
}

USDA Nutrition MCP Server のツール

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。

概要

What is USDA Nutrition Mcp Server?

USDA Nutrition Mcp Server is a professional Model Context Protocol (MCP) server that integrates with the USDA FoodData Central database, providing access to over 600,000 foods. It is designed for developers and AI assistants that need reliable, production-ready nutritional data.

How to use USDA Nutrition Mcp Server?

Download the bridge file and add it to your Claude Desktop configuration. The server supports three deployment options: hosted service, local development, or a custom server. Configuration is done via the mcp_bridge.py file and standard MCP client setup.

Key features of USDA Nutrition Mcp Server

Dual architecture: MCP protocol server and HTTP API
Three deployment options: hosted, local, and custom server
Production-ready with rate limiting, retries, and comprehensive testing
Smart bridge with auto-detection of hosted/local/custom server support
Access to 600k+ foods from USDA FoodData Central

Use cases of USDA Nutrition Mcp Server

Retrieve nutritional information for meal planning or recipe analysis
Enable AI assistants to answer food nutrition questions from a vast USDA database
Build custom applications requiring reliable, structured food data
Integrate nutritional data into health or fitness tracking tools

よくある質問

What deployment options are available?

Three deployment options: a hosted service, local development setup, or a custom server. The smart bridge auto-detects which mode to use.

How do I install the server?

Run `wget https://raw.githubusercontent.com/yourusername/mcp-nutrition-tools/main/src/mcp_bridge.py` and install dependencies with `pip install`. Then configure Claude Desktop to use the bridge.