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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.
- Search by Name: Find foods by name, brand, or partial matches
- Browse Foods: Get paginated lists of all available foods
- Get by ID: Retrieve detailed nutritional information using food IDs
- Barcode Lookup: Find foods using EAN-13 barcodes
The easiest way to run the server is via Docker. No build steps required.
Works with Claude (desktop and mobile), Cursor, Windsurf, VS Code, and any MCP-compatible AI app.
Category: Developer Tools
Don't lose this
Three weeks from now, you'll want deadletterq/mcp-opennutrition again. Will you remember where to find it?
Save it to your library and the next time you need deadletterq/mcp-opennutrition, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. deadletterq/mcp-opennutrition. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from awesome:punkpeye/awesome-mcp-servers
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