USDA Nutrition Mcp Server

Name: USDA Nutrition Mcp Server
Author: zen-apps

@zen-apps

About 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

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

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Overview

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

FAQ from USDA Nutrition Mcp Server

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.

What data source does the server use?

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

How is rate limiting handled?

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

Can I run this server locally?

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

Comments

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