openfoodfacts-mcp-server

endpoint

https://openfoodfacts.caseyjhand.com/mcp

protocol

http-sse ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing

karma

0 · newcomer

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• off_get_product unknown never probed

  Fetch a packaged food product by barcode (EAN-13 or UPC) from Open Food Facts. Returns the product name, brand, quantity, ingredients (raw text and parsed list), allergens, additives, computed scores (Nutri-Score a–e, NOVA 1–4, Green-Score), nutrition per 100g and per serving, categories, labels, packaging, origins, image URL, and data completeness. Open Food Facts is a crowd-sourced database — a missing field means "not yet entered by contributors," not that the attribute is absent from the actual product. Computed scores carry regional formula caveats and are indicators, not absolute rankings. Data is under ODbL 1.0 — cite Open Food Facts in downstream use.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "barcode"
    ],
    "properties": {
      "fields": {
        "type": "array",
        "items": {
          "enum": [
            "product_name",
            "brands",
            "quantity",
            "ingredients_text",
            "ingredients",
            "allergens_tags",
            "additives_tags",
            "nutriscore_grade",
            "nova_group",
            "ecoscore_grade",
            "nutriments",
            "serving_size",
            "serving_quantity",
            "serving_quantity_unit",
            "categories_tags",
            "labels_tags",
            "packaging_tags",
            "origins_tags",
            "image_url",
            "completeness",
            "data_quality_tags"
          ],
          "type": "string",
          "description": "A specific product field to include in the response."
        },
        "description": "Subset of fields to return. Omitting returns all standard fields. Use to reduce payload when only scores or ingredients are needed."
      },
      "barcode": {
        "type": "string",
        "pattern": "^\\d{8,14}$",
        "description": "EAN-13 or UPC barcode (8–14 digits). The primary key for Open Food Facts. Example: \"3017620422003\" (Nutella FR)."
      }
    },
    "additionalProperties": false
  }

  arguments 46 lines copy
• off_search_products unknown never probed

  Search Open Food Facts by full-text query, structured tag filters, or both at once. Returns a summary list with barcodes, product names, brands, Nutri-Score, NOVA group, and categories — enough for triage and selection, not full label data. Use off_get_product on the returned barcodes for complete details. A text query and tag filters combine: results match the query text and satisfy every filter provided (e.g. query "dark chocolate" with labels_tag "en:organic" and countries_tag "en:france" returns organic chocolate sold in France); additives_tag is the one exception, filtering only on searches with no text query. Tag filter values must be canonical tag IDs (e.g. "en:organic", "en:gluten-free") — use off_browse_taxonomy to resolve human terms to tag IDs. At least one search parameter is required. Data is crowd-sourced; result count reflects contributed products, not all products in the market. Data under ODbL 1.0 — cite Open Food Facts in downstream use.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "page": {
        "type": "integer",
        "default": 1,
        "maximum": 9007199254740991,
        "minimum": 1,
        "description": "Page number (1-based). Use with page_size to paginate results. Searches that include a text query serve only the first 10,000 results, so page * page_size must stay at or below 10,000 — a deeper request is rejected rather than sent. Tag-only searches have no published window, but Open Food Facts refuses deep pages unpredictably; narrowing the filters is more reliable than paging far in."
      },
      "query": {
        "type": "string",
        "description": "Full-text search term across product names, brands, and ingredients. Combines with any tag filters — results match this text and satisfy the filters. Example: \"dark chocolate 70%\"."
      },
      "sort_by": {
        "enum": [
          "last_modified_t",
          "unique_scans_n",
          "created_t",
          "popularity_key"
        ],
        "type": "string",
        "description": "Sort order for searches without a text query. \"unique_scans_n\" surfaces the most-scanned products; omitting returns results in default order. Searches that include a text query are relevance-ranked and ignore this option."
      },
      "page_size": {
        "type": "integer",
        "default": 20,
        "maximum": 50,
        "minimum": 1,
        "description": "Results per page (1–50, default 20). Keep low for initial exploration; increase for comparison workflows."
      },
      "brands_tag": {
        "type": "string",
        "description": "Brand slug (lowercased, hyphenated). Example: \"nutella\", \"kelloggs\". Matched exactly against the normalized slug — a partial or misspelled slug matches nothing rather than falling back to a near match, so put open-ended brand wording in query instead."
      },
      "labels_tag": {
        "type": "string",
        "description": "Canonical label/certification tag ID. Example: \"en:organic\", \"en:fair-trade\", \"en:no-gluten\". Use off_browse_taxonomy with facet=\"labels\"."
      },
      "nova_group": {
        "enum": [
          "1",
          "2",
          "3",
          "4"
        ],
        "type": "string",
        "description": "Filter by NOVA food processing class. \"1\"=unprocessed/minimally processed, \"4\"=ultra-processed. Products without a NOVA score are excluded."
      },
      "additives_tag": {
        "type": "string",
        "description": "Canonical additive (E-number) tag ID. Example: \"en:e322\", \"en:e330\". Use off_browse_taxonomy with facet=\"additives\". Available only on searches with no query — full-text searches cannot filter by additive, so combining the two is rejected instead of silently returning nothing."
      },
      "allergens_tag": {
        "type": "string",
        "description": "Canonical allergen tag ID. Example: \"en:milk\", \"en:gluten\". Use off_browse_taxonomy with facet=\"allergens\". Selects products that declare this allergen; it cannot select allergen-free products, because a product with no allergen tags may simply have none entered yet."
      },
      "countries_tag": {
        "type": "string",
        "description": "Canonical country tag ID. Example: \"en:france\", \"en:united-states\". Filters to products sold in that country."
      },
      "categories_tag": {
        "type": "string",
        "description": "Canonical category tag ID. Example: \"en:breakfast-cereals\", \"en:cheeses\". Use off_browse_taxonomy with facet=\"categories\" to discover valid values."
      },
      "nutrition_grade": {
        "enum": [
          "a",
          "b",
          "c",
          "d",
          "e"
        ],
        "type": "string",
        "description": "Filter by Nutri-Score grade. \"a\" is highest nutritional quality, \"e\" is lowest. Products without a score are excluded."
      }
    },
    "additionalProperties": false
  }

  arguments 80 lines copy
• off_compare_products unknown never probed

  Side-by-side nutrition and scoring comparison for 2–10 products by barcode. Returns a normalized table of energy (kcal/100g), fat, saturated fat, sugars, salt, protein, fiber, Nutri-Score, NOVA group, and Green-Score. Designed for "which of these cereals is healthiest?" or "compare these pasta brands" workflows. Missing nutrition data for any product is preserved as absent — comparisons are not imputed. A batch is not all-or-nothing: barcodes that resolve are returned even when others fail, with confirmed-missing barcodes listed in not_found and failed fetches listed separately in failed. Scores carry regional formula caveats. Data under ODbL 1.0 — cite Open Food Facts in downstream use.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "barcodes"
    ],
    "properties": {
      "barcodes": {
        "type": "array",
        "items": {
          "type": "string",
          "pattern": "^\\d{8,14}$",
          "description": "EAN-13 or UPC barcode (8–14 digits)."
        },
        "maxItems": 10,
        "minItems": 2,
        "description": "2–10 barcodes to compare, returned as one row each in input order. Example: [\"3017620422003\", \"7622210100146\"]."
      }
    },
    "additionalProperties": false
  }

  arguments 21 lines copy
• off_browse_taxonomy unknown never probed

  Resolve a human term to the canonical Open Food Facts tag ID that off_search_products filters on. Covers categories, labels/certifications, allergens, additives, countries, NOVA groups, and Nutri-Score grades. Pass a search term to resolve against the Open Food Facts vocabulary, which holds tens of thousands of tags; omitting it returns only a small reference list for each facet except NOVA groups and Nutri-Score grades, which are complete. Most tag IDs use the "en:" prefix (e.g. "en:organic", "en:gluten-free", "en:milk"); NOVA groups return bare digits "1"-"4" and Nutri-Score grades bare letters "a"-"e". Pass the id through to off_search_products exactly as returned. Category tags are frequently plural ("kombucha" resolves to "en:kombuchas"), so use the returned id rather than constructing one.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "facet"
    ],
    "properties": {
      "facet": {
        "enum": [
          "categories",
          "labels",
          "allergens",
          "additives",
          "countries",
          "nova_groups",
          "nutrition_grades"
        ],
        "type": "string",
        "description": "\"categories\" covers food categories (en:cheeses, en:breakfast-cereals). \"labels\" covers certifications (en:organic, en:fair-trade). \"allergens\" covers declared allergens (en:milk, en:gluten). \"additives\" covers E-numbers (en:e322). \"countries\" covers country-of-sale tags (en:france). \"nova_groups\" and \"nutrition_grades\" are closed vocabularies returned complete; the other five are resolved against the Open Food Facts taxonomy."
      },
      "limit": {
        "type": "integer",
        "default": 20,
        "maximum": 100,
        "minimum": 1,
        "description": "Maximum entries to return (1–100, default 20). There is no offset or page input: Open Food Facts returns only the first `limit` matches for a term and offers no cursor, so narrow the search term rather than paging."
      },
      "search": {
        "type": "string",
        "description": "Term to resolve. Matched case-insensitively as a substring of the tag ID or display name. A single word works best (\"hummus\", not \"hummus dip\"). Omit only to see a small reference list — Open Food Facts cannot list the full vocabulary without a term, so an unfiltered call is not a view of the full facet."
      }
    },
    "additionalProperties": false
  }

  arguments 34 lines copy

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

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