Nutritionix MCP Server

🥦 Nutrition Dietary MCP Server

This is an MCP (Model Context Protocol) server designed to integrate the Nutritionix API, enabling AI agents to access food search, nutritional data, and calorie consumption estimates for exercises through natural language input.

The purpose of this project is to expose the capabilities of Nutrionix through MCP-compatible tools, making them seamlessly accessible to large language models and agent frameworks.

🚀 Quick Start

✨ Features

• The MCP (Model Context Protocol) is a lightweight protocol that allows AI agents to interact with external tools and APIs in a structured and modular manner. Think of it as the "USB for AI" - this server acts as the "driver" for the Nutrionix platform.
• With this MCP server, AI models can:
  • 🔍 Search for common and branded foods.
  • 🍽️ Parse natural language descriptions of meals into nutritional breakdowns.
  • 🏃 Estimate calories burned from exercises such as running, cycling, or yoga.

📦 Installation

To use this MCP server, you need:

✅ Prerequisites

• Python 3.11+
• uv - a modern Python package manager
• A supported large language model (LLM) (e.g., Claude)
• A Nutrionix API application ID and application key obtained from developer.nutritionix.com

Add this content to the Claude Desktop configuration

{
  "mcpServers": {
    "nutritionix-mcp": {
      "command": "uvx",
      "args": [
        "nutritionix-mcp-server",
        "--app-id",
        "YOUR APP ID",  // Replace with your application ID
        "--app-key",
        "YOUR APP KEY"   // Replace with your application key
      ]
    }
  }
}

🤝 Contribution

Whether you're interested in nutrition technology, AI agent development, or API tools - we welcome your help in improving this project. You can:

• Add new tools (e.g., barcode search, food logging).
• Improve the response format.
• Write tests or documentation.
• Propose new ideas through issues or discussions.

Feel free to fork, explore, and submit PRs. Let's build a smarter future for nutrition and AI together. 🧠🥗

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