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Open Food Facts MCP Server

Open Food Facts MCP Server

by Jatin-IITB
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TypeScript
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    • Open Food Facts MCP Server

      caleb-conner
      A
      license
      A
      quality
      D
      maintenance
      Enables 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.
      5
      1
      MIT

    • FoodChecker

      kjagsadvisors
      A
      license
      A
      quality
      B
      maintenance
      Enables ChatGPT and Claude users to score packaged foods from 0-100 based on nutrition, additives and processing, using barcode, product name or label photo lookups against Open Food Facts. It also surfaces cited additive risk explanations and suggests healthier alternatives in the same category, rendering an inline score card.
      4
      MIT

    • mcp-openfoodfacts

      pipeworx-io
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables querying Open Food Facts product database by barcode, full-text search, category, brand, or country.
      349 npm
      MIT
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    TDQS

    B3.4/5.0

    Scored across 21 tools

    Disambiguation5/5

    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.

    Naming Consistency4/5

    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.

    Tool Count5/5

    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.

    Completeness5/5

    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.

    Resources