Install
$ agentstack add mcp-lalanikarim-comfy-mcp-server ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Comfy MCP Server
[](https://smithery.ai/server/@lalanikarim/comfy-mcp-server)
> 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.jsonwhich 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_URLto point to your Comfy server URL.COMFY_WORKFLOW_JSON_FILEto point to the absolute path of the API export json file for the comfyui workflow.PROMPT_NODE_IDto the id of the text prompt node.OUTPUT_NODE_IDto the id of the output node with the final image.OUTPUT_MODEto eitherurlorfileto select desired output.
Optionally, if you have an Ollama server running, you can connect to it for prompt generation.
OLLAMA_API_BASEto the url where ollama is running.PROMPT_LLMto 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:
- Checks if all the environment variable are set.
- Loads a prompt template from a JSON file.
- Submits the prompt to the Comfy server.
- Polls the server for the status of the prompt processing.
- 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.
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: lalanikarim
- Source: lalanikarim/comfy-mcp-server
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.