Local MCP server for querying 300,000+ foods with nutrition facts and barcode lookup from OpenNutrition.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
One-click editor setup isnβt available for this listing yet β we donβt have a confirmed install command, and weβd rather show nothing than point your editor at the wrong package or host. Follow the projectβs own setup instructions, linked above.
Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Opennutrition.
A Model Context Protocol (MCP) server providing access to the comprehensive OpenNutrition food database with 300,000+ food items, nutritional data, and barcode lookups.
OpenNutrition addresses the longstanding issues with fragmented and unreliable nutritional data by combining authoritative public sources (USDA, CNF, FRIDA, AUSNUT). Unlike other databases that suffer from inconsistent user-generated content or restrictive commercial licensing, OpenNutrition provides transparent, comprehensive, and accurate nutritional data that's freely accessible to developers and researchers.
The easiest way to run the server is via Docker. No build steps required.
Run the container:
Then add to your MCP configuration:
Install dependencies:
Build the project:
Add to your MCP configuration (set the same version of node that you used to build the project):
This server uses the OpenNutrition dataset.
The dataset provides comprehensive nutritional profiles including macronutrients, vitamins, and minerals.
Once configured, the MCP server runs fully locally on your machine and automatically provides food and nutrition query capabilities to Claude/Cline. All data processing and queries happen locally with no external API calls, ensuring privacy and fast response times.
Here is an example of how Claude uses the tool for a brownie recipe:

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