# openfoodfacts-mcp-server

> openfoodfacts-mcp-server — noot-app-openfoodfacts-mcp-server. Use this tool when you need to manage and query large product databases, specifically for OpenFoodFacts, to solve data analysis and retrieval problems. It utilizes a Parquet database and provides an interface for efficient data storage and querying. Ideal for use cases requiring fast data access and analysis, such as data science and research applications.

Canonical page: https://skillsregistry.net/skills/noot-app-openfoodfacts-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/noot-app-openfoodfacts-mcp-server

## Description

MCP Server for OpenFoodFacts using the Parquet product database

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/noot-app/openfoodfacts-mcp-server)

## 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": "noot-app-openfoodfacts-mcp-server"
    }
  }
}
```

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