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Comfy MCP Server

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

Unclaimed MIT last commit a year ago content
59Fair

Scored 10 days ago · breakdown

About Comfy MCP Server

Comfy MCP Server is an MCP server published by lalanikarim in the Content category: a server using FastMCP framework to generate images based on prompts via a remote Comfy server.

The repository has 46 stars and 17 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/lalanikarim/comfy-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 4 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

Comfy MCP Server

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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.

README fetched from the repository 4 days ago. The original is authoritative.

Questions

About Comfy MCP Server

How do I install Comfy MCP Server?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Comfy MCP Server safe to use with an AI agent?

Its trust score is 59 out of 100 (fair). It passes 4 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Comfy MCP Server still maintained?

The last commit was a year ago and 3 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.