# claude-imagine

> claude-imagine — prenats-claude-imagine. Use this tool when you need to generate images locally using various backends like ComfyUI, and integrate them into your Claude Code projects. It solves the problem of streamlining image generation workflows by providing a centralized MCP server for managing different image generation tools. This tool takes Claude Code as input and produces generated images as output, ideal for use cases where local image generation is required.

Canonical page: https://skillsregistry.net/skills/prenats-claude-imagine  
JSON: https://api.skillsregistry.net/v1/skills/prenats-claude-imagine

## Description

MCP server for generating images in Claude Code — supports local image generation tools like ComfyUI and other backends

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/prenats/claude-imagine)

## 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": "prenats-claude-imagine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/prenats-claude-imagine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/prenats-claude-imagine/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