# Image Generator MCP

> Image Generator MCP — javatoky-image-generator-mcp. Use this tool when you need to generate images or process visual data for various applications, solving problems such as creating custom graphics, editing photos, or producing visual references. The Image Generator MCP takes in inputs like layout guides, multi-image inputs, and chroma-key source images, and outputs generated images, including canonical base images and identity references. It is ideal for use cases requiring automated image generation, editing, or enhancement, particularly in workflows involving pets or specific visual themes.

Canonical page: https://skillsregistry.net/skills/javatoky-image-generator-mcp  
JSON: https://api.skillsregistry.net/v1/skills/javatoky-image-generator-mcp

## Description

Exposes generate_image for general image generation and hatch-pet specific workflows: canonical base generation, identity reference, multi-image input, layout guides, and single-action row chroma-key source images.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tf35n7p6dt)
- **Repository:** <https://github.com/Javatoky/image-generator-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": "javatoky-image-generator-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/javatoky-image-generator-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/javatoky-image-generator-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