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comfy-mcp-server

A server using FastMCP framework to generate images based on prompts via a remote Comfy server.

Install / Use

claude mcp add lalanikarim -- npx -y github:lalanikarim/comfy-mcp-server

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

70/100

Supported Platforms

Claude Code
Claude Desktop

Our assessment of comfy-mcp-server

comfy-mcp-server scores 70/100 on our quality scale, 3813th of 4,617 Development & Engineering skills we index.

Its MCP Server is 3.4 KB long, well organised into 11 sections with 4 code examples: a solid amount of guidance for an agent.

It has 46 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
26/30
Structure
20/20
Description
12/15
Adoption
7/20
Freshness
5/15

Maintenance, license and trust

  • The repository was last updated about 1.7 years ago. Expect some instructions to reference tool versions or APIs that have since changed.
  • Our last check on 2026-09-28 found the source still online.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

comfy-mcp-server compared with similar skills

All 4 of these similar skills score higher than comfy-mcp-server; compare them before choosing.

SkillScoreStarsUpdatedFormat
comfy-mcp-server (this skill)by lalanikarim704620mo agoMCP Server
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headroomby headroomlabs-ai10078.9ktodayCLAUDE.md
ai-job-searchby ai-job-search-dev10069.8ktodayCLAUDE.md

Frequently asked questions

How do I install comfy-mcp-server?
Run claude mcp add lalanikarim -- npx -y github:lalanikarim/comfy-mcp-server. The install tabs above show the steps for each supported agent.
Which AI agents does comfy-mcp-server work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is comfy-mcp-server safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is comfy-mcp-server still maintained?
The repository was last updated about 1.7 years ago. Expect some instructions to reference tool versions or APIs that have since changed.

Comfy MCP Server

smithery badge

A server using FastMCP framework to generate images based on prompts via a remote Comfy server.

Overview

This script sets up a server using the FastMCP framework to generate images based on prompts using a specified workflow. It interacts with a remote Comfy server to submit prompts and retrieve generated images.

Prerequisites

  • uv package and project manager for Python.
  • Workflow file exported from Comfy UI. This code includes a sample Flux-Dev-ComfyUI-Workflow.json which is only used here as reference. You will need to export from your workflow and set the environment variables accordingly.

You can install the required packages for local development:

uvx mcp[cli]

Configuration

Set the following environment variables:

  • COMFY_URL to point to your Comfy server URL.
  • COMFY_WORKFLOW_JSON_FILE to point to the absolute path of the API export json file for the comfyui workflow.
  • PROMPT_NODE_ID to the id of the text prompt node.
  • OUTPUT_NODE_ID to the id of the output node with the final image.
  • OUTPUT_MODE to either url or file to select desired output.

Optionally, if you have an Ollama server running, you can connect to it for prompt generation.

  • OLLAMA_API_BASE to the url where ollama is running.
  • PROMPT_LLM to the name of the model hosted on ollama for prompt generation.

Example:

export COMFY_URL=http://your-comfy-server-url:port
export COMFY_WORKFLOW_JSON_FILE=/path/to/the/comfyui_workflow_export.json
export PROMPT_NODE_ID=6 # use the correct node id here
export OUTPUT_NODE_ID=9 # use the correct node id here
export OUTPUT_MODE=file

Usage

Comfy MCP Server can be launched by the following command:

uvx comfy-mcp-server

Example Claude Desktop Config

{
  "mcpServers": {
    "Comfy MCP Server": {
      "command": "/path/to/uvx",
      "args": [
        "comfy-mcp-server"
      ],
      "env": {
        "COMFY_URL": "http://your-comfy-server-url:port",
        "COMFY_WORKFLOW_JSON_FILE": "/path/to/the/comfyui_workflow_export.json",
        "PROMPT_NODE_ID": "6",
        "OUTPUT_NODE_ID": "9",
        "OUTPUT_MODE": "file",
      }
    }
  }
}

Functionality

generate_image(prompt: str, ctx: Context) -> Image | str

This function generates an image using a specified prompt. It follows these steps:

  1. Checks if all the environment variable are set.
  2. Loads a prompt template from a JSON file.
  3. Submits the prompt to the Comfy server.
  4. Polls the server for the status of the prompt processing.
  5. Retrieves and returns the generated image once it's ready.

generate_prompt(topic: str, ctx: Context) -> str

This function generates a comprehensive image generation prompt from specified topic.

Dependencies

  • mcp: For setting up the FastMCP server.
  • json: For handling JSON data.
  • urllib: For making HTTP requests.
  • time: For adding delays in polling.
  • os: For accessing environment variables.
  • langchain: For creating simple LLM Prompt chain to generate image generation prompt from topic.
  • langchain-ollama: For ollama specific modules for LangChain.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Related Skills

View on GitHub
GitHub Stars46
CategoryDevelopment
Updated1y ago
Forks17

Languages

Python

Trust signals

80/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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