USDA Nutrition Mcp Server

Created By

zen-apps6 months ago

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

Overview Content Tools Comments

Overview

What is USDA Nutrition MCP Server?

The USDA Nutrition MCP Server is a professional Model Context Protocol (MCP) server that provides access to over 600,000 foods from the USDA FoodData Central, enabling users to perform nutrition analysis, food comparison, and dietary planning.

How to use USDA Nutrition MCP Server?

To use the USDA Nutrition MCP Server, download the bridge file and configure it in your local environment. You can run the server using the provided command: python3 /path/to/downloaded/mcp_bridge.py.

Key features of USDA Nutrition MCP Server?

Dual Architecture: Supports both MCP protocol and HTTP API.
Three Deployment Options: Choose between hosted service, local development, or custom server.
Production Ready: Includes features like rate limiting, retries, and comprehensive testing.
Smart Bridge: Automatically detects server type (hosted/local/custom).

Use cases of USDA Nutrition MCP Server?

Conducting detailed nutrition analysis for various foods.
Comparing nutritional values of different food items.
Planning dietary needs based on food data.

FAQ from USDA Nutrition MCP Server?

Can I access all food data from USDA FoodData Central?

Yes! The server provides access to over 600,000 food items.

What are the deployment options available?

You can deploy the server as a hosted service, on your local machine, or as a custom server.

Is the server suitable for production use?

Yes! The server is designed to be production-ready with features like rate limiting and retries.

Server Config

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

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