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Nutritionix MCP Server

@MCP-Forge

Repository

Basic information

Category

Other

Transports

stdio

Author

MCP-Forge

Submitted by

Damyan Dimitrov

About Nutritionix MCP Server

An MCP server that integrates with the Nutritionix API to provide nutrition data, meal insights, and food logging capabilities. Ideal for AI agents managing health, fitness, or dietary workflows.

#health#nutrition#food#wellness#meal-tracking#api#fitness#mcp#nutritionix

Nutritionix MCP Server config

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

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

Nutritionix MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Nutritionix MCP Server?

Nutritionix MCP Server is an MCP (Model Context Protocol) server that integrates with the Nutritionix API, enabling AI agents to access food search, nutrition data, and exercise calorie estimates via natural language input. It is designed for developers building LLM and agent-based applications that need structured nutrition information.

How to use Nutritionix MCP Server?

To use it, you need Python 3.11+, uv, a supported LLM (e.g., Claude), and Nutritionix API credentials. Add the server to your Claude Desktop config with the uvx command, passing your App ID and App Key as arguments. Once configured, the server exposes MCP tools for searching foods, parsing meals, and estimating exercise calories.

Key features of Nutritionix MCP Server

  • Search common and branded food items
  • Parse natural language meals into nutritional breakdowns
  • Estimate calories burned from exercises (e.g., running, yoga)
  • Built on the Model Context Protocol for AI agent integration
  • Lightweight and easy to run with uv

Use cases of Nutritionix MCP Server

  • An AI assistant helping a user log a breakfast meal from a text description
  • A fitness coach AI estimating calories burned from a user’s exercise log
  • A meal planner AI searching for branded food items and their nutrition info
  • A nutrition tracker automatically parsing natural language food entries

Frequently asked questions

1

What are the system requirements to run Nutritionix MCP Server?

You need Python 3.11+, the `uv` package manager, and a supported LLM host (e.g., Claude Desktop). You also need a Nutritionix API App ID and App Key from developer.nutritionix.com.

2

How do I authenticate with the Nutritionix API?

Authentication is done by providing your App ID and App Key as command-line arguments (`--app-id` and `--app-key`) when launching the server via `uvx`.

3

What data does Nutritionix MCP Server access?

It accesses the Nutritionix API, which provides food nutrition data, branded food items, and exercise calorie estimates. All data is retrieved from Nutritionix’s cloud-based database; no local data is stored by the server.

4

What transport protocol does this server use?

The server uses the MCP protocol over stdio, launched as a subprocess by the LLM host (e.g., via `uvx` in the Claude Desktop config).

5

Are there any known limitations?

The README does not list limitations, but the server depends on an active internet connection and valid Nutritionix API credentials. Adding new tools (e.g., barcode search) is listed as a welcome contribution.

Comments

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