io.github.cyanheads/openfoodfacts-mcp-server

Barcode lookup, nutrition search, and product comparison for 3M+ crowd-sourced food products.

GitHub

No known CVEs

No license

Maintenance unknown

No commit data

Works with most clients

Transport:

0 tools

Grade F

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Health

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-cyanheads-openfoodfacts-mcp-server": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-cyanheads-openfoodfacts-mcp-server-cyanheads)](https://mcppedia.org/s/io-github-cyanheads-openfoodfacts-mcp-server-cyanheads)

Read me

What io.github.cyanheads/openfoodfacts-mcp-server does

Barcode lookup, nutrition search, and product comparison for 3M+ crowd-sourced food products.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

10/100across 5 weighted dimensions

How we score →

0255075100

−90

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

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Frequently Asked Questions

Is io.github.cyanheads/openfoodfacts-mcp-server safe to use?: io.github.cyanheads/openfoodfacts-mcp-server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.cyanheads/openfoodfacts-mcp-server?: io.github.cyanheads/openfoodfacts-mcp-server can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.cyanheads/openfoodfacts-mcp-server?: io.github.cyanheads/openfoodfacts-mcp-server is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

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MCP Security Weekly

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Tools

Four tools for working with Open Food Facts — a free, crowd-sourced database of 3M+ packaged food products:

Tool

Description

off_get_product

Fetch a packaged food product by barcode. Returns name, brand, quantity, ingredients, allergens, additives, Nutri-Score, NOVA group, Green-Score, nutrition per 100g/serving, categories, labels, and data completeness.

off_search_products

Search by text query and/or structured tag filters (category, brand, label, Nutri-Score grade, NOVA group, country). Returns summary rows with barcodes for follow-up lookups.

off_compare_products

Side-by-side nutrition and scoring comparison for 2–10 products by barcode. Returns a normalized table of energy, macros, salt, Nutri-Score, NOVA, and Green-Score.

off_browse_taxonomy

Browse and search the canonical tag vocabulary (categories, labels, allergens, additives, countries, NOVA groups, Nutri-Score grades) for use as filter values in off_search_products.

off_get_product

Fetch a packaged food product by barcode (EAN-13 or UPC).

Accepts 8–14 digit barcodes (EAN-13, EAN-8, UPC-A, UPC-E)

Returns ingredients (raw text and parsed list with percent estimates, vegan/vegetarian flags), all 14 major allergens as tag IDs, E-number additives, Nutri-Score a–e, NOVA 1–4, Green-Score/Eco-Score, full nutriments per 100g and per serving, categories/labels/packaging/origins as canonical tag IDs, front image URL, and data completeness score (0–1)

Opti

Frequently Asked Questions

Is io.github.cyanheads/openfoodfacts-mcp-server safe to use?

io.github.cyanheads/openfoodfacts-mcp-server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.cyanheads/openfoodfacts-mcp-server?

io.github.cyanheads/openfoodfacts-mcp-server can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with io.github.cyanheads/openfoodfacts-mcp-server?

io.github.cyanheads/openfoodfacts-mcp-server is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

@cyanheads/openfoodfacts-mcp-server

Look up food products by barcode, search by ingredient or nutrition filter, compare products side-by-side, and browse the canonical tag vocabulary via MCP. STDIO or Streamable HTTP.

4 Tools

Public Hosted Server: https://openfoodfacts.caseyjhand.com/mcp

Tools

Four tools for working with Open Food Facts — a free, crowd-sourced database of 3M+ packaged food products:

Tool	Description
`off_get_product`	Fetch a packaged food product by barcode. Returns name, brand, quantity, ingredients, allergens, additives, Nutri-Score, NOVA group, Green-Score, nutrition per 100g/serving, categories, labels, and data completeness.
`off_search_products`	Search by text query and/or structured tag filters (category, brand, label, Nutri-Score grade, NOVA group, country). Returns summary rows with barcodes for follow-up lookups.
`off_compare_products`	Side-by-side nutrition and scoring comparison for 2–10 products by barcode. Returns a normalized table of energy, macros, salt, Nutri-Score, NOVA, and Green-Score.
`off_browse_taxonomy`	Browse and search the canonical tag vocabulary (categories, labels, allergens, additives, countries, NOVA groups, Nutri-Score grades) for use as filter values in `off_search_products`.

`off_get_product`

Fetch a packaged food product by barcode (EAN-13 or UPC).

Accepts 8–14 digit barcodes (EAN-13, EAN-8, UPC-A, UPC-E)
Returns ingredients (raw text and parsed list with percent estimates, vegan/vegetarian flags), all 14 major allergens as tag IDs, E-number additives, Nutri-Score a–e, NOVA 1–4, Green-Score/Eco-Score, full nutriments per 100g and per serving, categories/labels/packaging/origins as canonical tag IDs, front image URL, and data completeness score (0–1)
Opti

... View full README on GitHub