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Recipe Commerce Intelligence MCP

Recipe Commerce Intelligence MCP

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    • A
      license
      Not graded
      quality
      D
      maintenance
      Extracts sponsored products, brand mentions, and affiliate signals from newsletters to generate a shoppable 'Products in this edition' section for affiliate revenue.
      3
      53 npm
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to search recipes, compose nutritionally balanced meals, optimize weekly meal plans based on macro targets for family members, and generate consolidated grocery lists from a personal recipe database.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to manage a personal recipe collection and assist with cooking by searching by ingredients on hand, scaling recipes, and generating grouped shopping lists with pantry-aware gaps.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables ChatGPT and Codex users to match grocery items against retailer product candidates, explain those matches, and convert recipes into scaled shopping lists for Ocado, Waitrose, Tesco or Asda. It also prepares a retailer URL and copyable list for a Chrome extension handoff, leaving the user to review the basket and check out themselves.
      AGPL 3.0
    • A
      license
      A
      quality
      A
      maintenance
      Enables an AI assistant to search affiliate product feeds from any network (Awin, Amazon, CJ, Impact, and others with deep links) and return buy links built with the user's own affiliate IDs, each shipped with a disclosure the assistant is told to show. Supports keyword search with price, currency, network and merchant filters, side-by-side comparison of products, sub-ID tagging of links, and validation of configured feeds before connecting an assistant.
      4
      44 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants to calculate recipe and per-serving calories, macros, and FDA-rounded Nutrition Facts values from ingredient lines using USDA FoodData Central data, including scaling recipes and looking up ingredient nutrition.
      4
      MIT

    TDQS

    A4.7/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a distinct and clear purpose: extraction, matching, and suggestion. They form a logical pipeline with no overlap.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with underscores: extract_recipe_ingredients, match_ingredients_to_products, suggest_affiliate_products.

    Tool Count5/5

    Three tools is appropriate for the focused domain of recipe commerce intelligence, covering the essential workflow without excess.

    Completeness4/5

    The tool set covers the main workflow from extraction to product suggestion, though live pricing and direct purchase links are not included, but that aligns with the stated purpose of intelligence.