# openbeautyfacts

> Use this tool when you need to query Open Beauty Facts product data using natural language, enabling easy access to product information. It solves problems related to retrieving specific product details, such as ingredients, nutrition facts, and more, through a user-friendly interface. The tool takes natural language queries as input and returns relevant product data as output, ideal for use cases where quick and intuitive product research is required.

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

## Description

Enables querying Open Beauty Facts product data through natural language, using the Pipeworx MCP gateway.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oxxcx52yo7)
- **Repository:** <https://github.com/pipeworx-io/mcp-openbeautyfacts>

## 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-openbeautyfacts"
    }
  }
}
```

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