Open Food Facts MCP Server
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- FlicenseBqualityDmaintenanceEnables AI assistants to access food product information from Open Food Facts, including nutritional analysis, product comparisons, recipe suggestions, and allergen checks.21-
- AlicenseAqualityDmaintenanceEnables AI assistants to access the Open Food Facts database to query detailed food product information, nutritional data, and environmental scores. Supports product lookup by barcode, smart search with filtering, nutritional analysis, product comparison, and dietary recommendations to help users make informed food choices.51MIT
- FlicenseNot gradedqualityDmaintenanceEnables LLMs to search for food products and retrieve detailed nutritional information from the Open Food Facts database using product names or barcodes.-
- AlicenseAqualityBmaintenanceProvides LLMs with access to food nutrition data from Open Food Facts, enabling barcode lookup, product search, and nutrition score comparisons.5MIT
- AlicenseNot gradedqualityCmaintenanceEnables querying Open Food Facts product database by barcode, full-text search, category, brand, or country.14MIT
- FlicenseNot gradedqualityDmaintenanceProvides AI assistants with real-time access to nutrition data from USDA FoodData Central and FatSecret, enabling accurate answers with citations for nutrition queries.-
TDQS
Scored across 21 tools
Each tool has a distinct purpose with no significant overlap. Search tools are differentiated by filter criteria, allergen checks are split by single vs. multiple, and AI question tools separate product-specific from random. Users can clearly distinguish between retrieving product data, prices, nutritional scores, and insights.
Most tools follow a verb_noun pattern (e.g., analyzeProduct, getNutriScore), but there is some inconsistency: autocomplete and suggestRecipes lack a prefix, while others use get, search, or check. The naming is still descriptive and readable, so only a minor deduction.
21 tools cover a wide range of food product queries without being excessive. Each tool serves a specific, valuable function, and the count feels appropriate for a comprehensive data exploration API.
The toolset covers core CRUD operations for product queries, including search, barcode lookup, nutritional analysis, allergen checks, price data, AI insights, and community contributions. No obvious missing functionality for a read-only food facts server.