# good-comfyui-mcp

> good-comfyui-mcp — xingxue-ux-good-comfyui-mcp. Use this tool when you need to generate AI images using a local interface, as it provides a comprehensive toolchain for reference-image-to-replication tasks, including tag lookup, vision processing, and model download capabilities. It solves problems related to AI image generation, such as finding and replicating specific image styles, by leveraging Danbooru tags, Ollama vision, and Civitai LoRA models. It accepts reference images and tags as inputs and outputs generated AI images, making it ideal for use cases requiring customized image generation.

Canonical page: https://skillsregistry.net/skills/xingxue-ux-good-comfyui-mcp  
JSON: https://api.skillsregistry.net/v1/skills/xingxue-ux-good-comfyui-mcp

## Description

MCP server for generating AI images with local ComfyUI, featuring a reference-image-to-replication toolchain including Danbooru tag lookup, local Ollama vision, deobfuscation, and Civitai LoRA search/download.

## Trust

- **Trust score (0–1):** 0.68
- **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/ohrdnm92vr)
- **Repository:** <https://github.com/xingxue-ux/good-comfyui-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": "xingxue-ux-good-comfyui-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xingxue-ux-good-comfyui-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xingxue-ux-good-comfyui-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