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Comfy MCP Pipeline

Comfy MCP Pipeline

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github.com/lalanikarimData & Analytics15Updated 88w ago
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About Comfy MCP Pipeline

Comfy MCP Pipeline is an Open WebUI Pipelines wrapper for comfy-mcp-server. It lets Open WebUI users submit image prompts using a configured ComfyUI workflow.

Key features

  1. 01Open WebUI Pipelines wrapper
  2. 02Uses an exported ComfyUI workflow
  3. 03Configurable prompt and output node IDs
  4. 04Displays generated images in chat

Use cases

  1. 01Generate images from an Open WebUI chat
  2. 02Run a chosen ComfyUI workflow through a prompt

MCP support

The pipeline wraps comfy-mcp-server for use in Open WebUI.

#pipeline#mcp#comfyui

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.