Comfy

v1.0.0Business Applicationsstable

The Comfy MCP Server uses the FastMCP framework to generate images from prompts by interacting with a remote Comfy server, allowing automated image creation based on workflow configurations.

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What is Comfy?

Comfy is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to comfy mcp server uses the fastmcp framework to generate images from prompts by interacting with a remote comfy server, allowing automated image creation based on workflow configurations.

The Comfy MCP Server uses the FastMCP framework to generate images from prompts by interacting with a remote Comfy server, allowing automated image creation based on workflow configurations.

This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • The Comfy MCP Server uses the FastMCP framework to generate

Use Cases

Generate images from prompts using Comfy server.
Create images based on workflow configurations through AI.
lalanikarim

Maintainer

LicenseMIT License
Languagepython
Versionv1.0.0
UpdatedMay 7, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx comfy-mcp-server

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Comfy

The Comfy MCP Server bridges Claude and a running ComfyUI instance, allowing AI assistants to generate images by submitting workflow-based prompts to a remote or local ComfyUI server. It exposes two tools: generate_image, which takes a text prompt and submits it to the configured ComfyUI workflow, and generate_prompt, which uses an optional Ollama model to expand a topic into a detailed image generation prompt. This makes it possible to drive the full ComfyUI image generation pipeline through conversational AI without touching the ComfyUI web interface.

Prerequisites

  • A running ComfyUI instance accessible via URL (local or remote)
  • Python with uv package manager installed
  • An exported ComfyUI workflow JSON file with a known prompt node ID and output node ID
  • An MCP client such as Claude Desktop or Claude Code
  • Optional: a running Ollama instance with a model for automated prompt expansion
1

Set up and export your ComfyUI workflow

In ComfyUI, build and test your image generation workflow. Export it as an API JSON file (Enable Dev Mode in ComfyUI settings first, then use 'Save (API Format)'). Note the node IDs for the text prompt node and the final image output node.

2

Install uv and test comfy-mcp-server

Install uv if not already available. You can run comfy-mcp-server directly via uvx without a permanent installation.

# Install uv:
curl -LsSf https://astral.sh/uv/install.sh | sh

# Test run:
uvx comfy-mcp-server
3

Identify your workflow node IDs

Open your exported workflow JSON and find the node IDs for the text prompt input node (typically a CLIPTextEncode node) and the image output node (typically a SaveImage or PreviewImage node). These become PROMPT_NODE_ID and OUTPUT_NODE_ID.

4

Configure Claude Desktop with the Comfy MCP server

Add the server to your claude_desktop_config.json with all required environment variables pointing to your ComfyUI instance and workflow file.

5

Restart Claude Desktop and test image generation

Restart Claude Desktop. Ask Claude to generate an image. It will call generate_image, submit the workflow to ComfyUI, and poll for results. With OUTPUT_MODE=url, Claude will return a URL; with file mode, the image is saved locally.

Comfy Examples

Client configuration

Add comfy-mcp-server to claude_desktop_config.json. Replace the env values with your actual ComfyUI server URL, workflow file path, and node IDs.

{
  "mcpServers": {
    "comfy-mcp-server": {
      "command": "uvx",
      "args": ["comfy-mcp-server"],
      "env": {
        "COMFY_URL": "http://127.0.0.1:8188",
        "COMFY_WORKFLOW_JSON_FILE": "/absolute/path/to/your/workflow_api.json",
        "PROMPT_NODE_ID": "6",
        "OUTPUT_NODE_ID": "9",
        "OUTPUT_MODE": "file"
      }
    }
  }
}

Prompts to try

Use these prompts to generate images through ComfyUI via Claude. The generate_prompt tool can expand a simple topic into a detailed prompt before submitting to ComfyUI.

- "Generate an image of a futuristic city at night with neon lights and rain"
- "Create an image of a serene mountain lake at sunrise in photorealistic style"
- "Generate a prompt for a fantasy forest scene, then use it to create an image"
- "Make an image of an astronaut riding a horse on Mars in the style of an oil painting"
- "Generate an image based on this description: a cozy coffee shop interior with warm lighting"

Troubleshooting Comfy

generate_image fails with connection refused or timeout

Verify your ComfyUI instance is running and accessible at the URL set in COMFY_URL. Test the connection by opening the ComfyUI URL in a browser. If ComfyUI is on a different machine, ensure firewall rules allow access on port 8188 (or your custom port).

Workflow executes but output image is never returned

Check that OUTPUT_NODE_ID matches the actual node ID of your SaveImage or PreviewImage node in the exported workflow JSON. Open the workflow JSON and look for the node with 'class_type': 'SaveImage' — its key is the correct OUTPUT_NODE_ID.

Prompt node ID mismatch causes empty or wrong images

Set PROMPT_NODE_ID to the ID of the CLIPTextEncode node that receives the positive text prompt in your workflow. In the exported API JSON, look for the node with 'class_type': 'CLIPTextEncode' and inputs containing 'text'. Its key is the correct PROMPT_NODE_ID.

Frequently Asked Questions about Comfy

What is Comfy?

Comfy is a Model Context Protocol (MCP) server that comfy mcp server uses the fastmcp framework to generate images from prompts by interacting with a remote comfy server, allowing automated image creation based on workflow configurations. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Comfy?

Follow the installation instructions on the Comfy GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Comfy?

Comfy works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Comfy free to use?

Yes, Comfy is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "comfy-mcp-server": { "command": "npx", "args": ["-y", "comfy-mcp-server"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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