# mcp-foodish

> mcp-foodish — pipeworx-io-mcp-foodish. Use this tool when you need to generate random food images by category, such as pizza or burger, to enhance visual content or test image processing models. It solves problems related to food image generation and testing, providing a keyless interface to access images via Foodish. Ideal for use cases requiring diverse food images, such as machine learning model training or culinary content creation.

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

## Description

Random food images by category (pizza, burger, dosa, etc.) via Foodish. Keyless.

## 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:** media
- **Updated:** 2026-09-26

## Source

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

## 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-foodish"
    }
  }
}
```

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