Open Food Facts MCP Server
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- FlicenseBqualityDmaintenanceEnables AI assistants to access food product information, providing nutritional analysis, product comparisons, and recipe suggestions using the Open Food Facts database.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 clearly distinct purpose: search tools differ by scope (general, brand, category, advanced filters), nutritional/environmental checks are separate, AI insight tools are well-differentiated (questions vs. insights, per-product vs. random), and price tools cover different query patterns. No two tools are easily confused.
All tool names follow a consistent camelCase verb-noun pattern (e.g., 'searchByBrand', 'getEcoScore', 'analyzeProduct'). The verbs vary logically by action, and there is no mixing of naming conventions like snake_case or underscores.
With 21 tools, the set is slightly larger than typical but still well-scoped. Each tool covers a specific feature of the Open Food Facts database (search, nutrition, environment, allergens, AI insights, prices, recipes) without significant overlap or redundancy.
For a read-only query server, the tool set is comprehensive: it covers product lookup, multiple search dimensions, nutritional and environmental ratings, allergen checking, AI-driven insights, and pricing data. Missing write operations (create/update/delete) are outside the apparent scope, so only minor gaps exist (e.g., no direct list of all categories or brands, but autocomplete covers that).