# ComfyUI

> Use this tool when you need to generate images using custom workflows and natural language prompts, solving problems in AI-assisted creative tasks and prototyping visual concepts. It takes JSON-defined workflows and natural language inputs, outputting generated images through integration with the ComfyUI API. Ideal for use in applications requiring advanced image generation capabilities, such as AI art tools and design software.

Canonical page: https://skillsregistry.net/skills/lalanikarim-comfy-ui  
JSON: https://api.skillsregistry.net/v1/skills/lalanikarim-comfy-ui

## Description

This MCP server implementation provides a bridge to ComfyUI, a powerful UI for Stable Diffusion workflows. Developed by Karim Lalani, it enables AI assistants to generate images using custom ComfyUI workflows through natural language prompts. The server utilizes a JSON-defined workflow and integrates with the ComfyUI API, allowing for flexible image generation pipelines. It's particularly useful for AI-assisted creative tasks, prototyping visual concepts, and integrating advanced image generation capabilities into AI applications. The implementation focuses on ease of use and configurability, supporting customizable workflow parameters and seamless integration with Open WebUI.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lalanikarim-comfy-ui)
- **Repository:** <https://github.com/lalanikarim/comfy-mcp-pipeline>

## 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": "lalanikarim-comfy-ui"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lalanikarim-comfy-ui` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lalanikarim-comfy-ui/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