ComfyUI
About
Integrates with ComfyUI to enable natural language-driven image generation using customizable Stable Diffusion workflows
Details
- Author
- lalanikarim
- Repository
- lalanikarim/comfy-mcp-pipeline
- GitHub stars
- 9
- License
- MIT License
- Categories
- Productivity, Developer Tools, Design, AI, Media, Frontend, API
- Tags
- #integration
Jump to
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
ComfyUICommand (node, npx, python, etc.)npxArguments-
Argument 1
-y -
Argument 2
@highlight/mcp-server
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
- Select New Chat and select Comfy MCP Pipeline
- Enter an image generation prompt and hit send
- If the setup was successful you should see the generated image
- Follow Open WebUI Pipelines documentation to upload the comfy-mcp-pipeline.py to Pipeline server
- Choose comfy-mcp-pipeline (pipe) from Pipeline Valves
- Set configuration for the following valves:
- Comfy Url: Url for your Comfy UI server.
- Comfy Url External: External Url for your Comfy UI server. Use Comfy Url value if same.
- Comfy Workflow Json File: path of the workflow JSON file.
- Prompt Node Id: Id of the text prompt node from workflow JSON file.
- Output Node Id: Id of the generated image node from the workflow JSON file.
- If all steps are successfull, you will see Comfy MCP Pipeline in the list of models
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"comfyui": {
"env": {},
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}
}
}Linux
{
"env": [],
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}Macos
{
"env": [],
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}Windows
{
"env": [],
"args": [
"/c",
"npx",
"-y",
"@highlight/mcp-server"
],
"command": "cmd"
}Comfy MCP Pipeline
This is a pipeline wrapper for comfy-mcp-server for Open WebUI.
Prerequisites
- Open WebUI
- Open WebUI Pipelines
- ComfyUI
- Updated requirements.txt for pipelines server
- JSON Export of a ComfyUI Workflow API - see sample for reference workflow.json
- From Comfy UI, select a workflow to export
- From the top menu, Workflow -> Export (API) -> provide a filename -> Confirm
- This file will need to be uploaded to the pipeline server
Pipeline Installation and Setup
- Follow Open WebUI Pipelines documentation to upload the comfy-mcp-pipeline.py to Pipeline server
- Choose comfy-mcp-pipeline (pipe) from Pipeline Valves
- Set configuration for the following valves:
- Comfy Url: Url for your Comfy UI server.
- Comfy Url External: External Url for your Comfy UI server. Use Comfy Url value if same.
- Comfy Workflow Json File: path of the workflow JSON file.
- Prompt Node Id: Id of the text prompt node from workflow JSON file.
- Output Node Id: Id of the generated image node from the workflow JSON file.
- If all steps are successfull, you will see Comfy MCP Pipeline in the list of models
Usage
- Select New Chat and select Comfy MCP Pipeline
- Enter an image generation prompt and hit send
- If the setup was successful you should see the generated image
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