Nutritionix MCP Server

The Nutritionix MCP Server is an API tool based on the MCP protocol, used to integrate Nutritionix's nutrition data and exercise calorie estimation functions into AI agents, supporting the query of food nutrition and exercise consumption through natural language.

Health and wellness Developer tools #Nutrition data #Exercise estimation #AI tool #API integration .Python

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update time : 2025-04-29

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What is the Nutritionix MCP Server?

This is an intelligent connector that allows AI assistants to query food nutrition information and exercise consumption data like humans. It converts complex API requests into natural language interactions, as if equipping AI with 'nutritional senses'

How to use this service?

Simply configure the server information on a supported AI platform (such as Claude), and the AI can automatically gain the ability to query nutrition data. You don't need to deal with technical details directly

Applicable scenarios

Scenarios that require automated processing of nutrition data, such as health management apps, intelligent diet logs, exercise plan generation, and nutrition education tools

Main functions

Intelligent food search

Support the query of nutrition data for common foods and branded products, such as 'Starbucks grande caramel macchiato'

Dietary nutrition analysis

Automatically analyze a complete meal described in natural language, such as 'had 2 fried eggs and whole wheat toast for breakfast'

Exercise calorie estimation

Calculate calorie consumption based on exercise type, duration, and weight, supporting more than 500 types of exercise

Advantages

Add nutritional capabilities to AI without development

Process natural language input, reducing the usage threshold

Based on the authoritative Nutritionix database

Limitations

Require a valid Nutritionix API key

Data for some regional foods may be incomplete

Exercise consumption calculation is based on average values and there are individual differences

How to use

Get API credentials

Configure the AI platform

Add the server information to the configuration file of the AI platform you are using (such as Claude)

Start using

Directly ask the AI nutrition-related questions, such as 'Analyze my lunch today: chicken breast salad and a glass of orange juice'

Usage examples

Diet log analysis

The AI assistant automatically records and analyzes the user's daily diet description

Fitness plan assistance

Recommend exercise plans and calculate consumption based on the user's goals

Frequently asked questions

Is it necessary to pay for use?

Does it support Chinese food queries?

What is the data update frequency?

Related resources

Nutritionix official website

Official API documentation and developer resources

GitHub repository

Project source code and contribution guidelines

MCP protocol description

Official documentation of the Model Context Protocol

🥦 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
      ]
    }
  }
}