# ANSES Ciqual MCP Server

> Use this tool when you need to access comprehensive nutritional data for French foods, enabling queries and full-text searches across over 3,000 food items. It solves problems related to nutrition analysis, meal planning, and research by providing detailed composition data through SQL access. Ideal for use cases requiring precise nutritional information, such as dietary assessments, recipe development, or scientific studies.

Canonical page: https://skillsregistry.net/skills/fastmcp-me-ciqual-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fastmcp-me-ciqual-mcp

## Description

Provides SQL access to the ANSES Ciqual French food composition database, enabling query of nutritional data for over 3,000 foods with full-text search support.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w3wep0jkwz)
- **Repository:** <https://github.com/fastmcp-me/ciqual-mcp>

## 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": "fastmcp-me-ciqual-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fastmcp-me-ciqual-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fastmcp-me-ciqual-mcp/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