# mcp-openfoodfacts

> mcp-openfoodfacts — pipeworx-io-mcp-openfoodfacts. Use this tool when you need to access a collaborative database of food products, solving problems related to food product information and transparency. It provides a comprehensive dataset of food products, allowing users to input queries and retrieve detailed information about specific products. Ideal for use cases such as nutrition research, product comparison, and ingredient analysis, with inputs including product names or barcodes and outputs including nutritional data and ingredient lists.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-openfoodfacts  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-openfoodfacts

## Description

Open Food Facts — collaborative food product database

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-openfoodfacts)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pipeworx-io-mcp-openfoodfacts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-openfoodfacts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-openfoodfacts/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt