# spoonacular-mcp

> Use this tool when you need to retrieve recipe information, nutritional data, or ingredient details using natural language inputs. It solves problems such as meal planning, recipe discovery, and dietary analysis by providing access to a vast food database through the Spoonacular Food API. With natural language inputs and outputs in recipe and nutritional data formats, it's ideal for AI-powered cooking assistants and health-focused applications.

Canonical page: https://skillsregistry.net/skills/ddsky-spoonacular-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ddsky-spoonacular-mcp

## Description

Enables AI assistants to search for recipes, get nutritional information, find ingredients, and more through the Spoonacular Food API using natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rfqi6k6ef5)
- **Repository:** <https://github.com/ddsky/spoonacular-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": "ddsky-spoonacular-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ddsky-spoonacular-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ddsky-spoonacular-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