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USDA Nutrition MCP Server

@zen-apps

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

zen-apps

提交者

Josh Janzen

关于 USDA Nutrition MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

USDA Nutrition 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 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

常见问题

1

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.

2

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.

3

What data source does the server use?

It uses the USDA FoodData Central database, which contains over 600,000 food items.

4

How is rate limiting handled?

The server includes built-in rate limiting and retry logic for production readiness.

5

Can I run this server locally?

Yes, it supports local development as one of its three deployment options.

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