ComfyUI MCP Server
by zuojianghua
ComfyUI MCP Server is a Model Context Protocol (MCP) server for ComfyUI. It provides image generation and prompt optimization services.
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What is ComfyUI MCP Server?
ComfyUI MCP Server is an implementation of a Model Context Protocol (MCP) server specifically designed for ComfyUI. It acts as an intermediary, allowing users to generate images and optimize prompts using ComfyUI's text-to-image workflows.
How to use ComfyUI MCP Server?
To use the server, you need a running ComfyUI instance and the FastMCP library installed. Configure the server with the necessary parameters, including the ComfyUI URL and the path to the server script. The provided JSON configuration example demonstrates how to set up the server within an MCP environment.
Key features of ComfyUI MCP Server
Image Generation using ComfyUI workflows
Prompt Optimization for improved image results
Automatic image dimension adjustment (multiples of 8)
Random seed generation for diverse outputs
Returns both local file paths and online accessible URLs
Use cases of ComfyUI MCP Server
Generating images from text prompts
Improving the quality of generated images through prompt optimization
Automating image generation workflows with ComfyUI
Integrating ComfyUI image generation capabilities into other applications
Experimenting with different prompts and seeds to create diverse image outputs
FAQ from ComfyUI MCP Server
What is FastMCP?
What is FastMCP?
FastMCP is a framework used to implement the Model Context Protocol.
What is the minimum Python version required?
What is the minimum Python version required?
Python 3.7 or higher is required.
Does this server require a ComfyUI instance?
Does this server require a ComfyUI instance?
Yes, a running ComfyUI instance is required for the server to function.
How do I configure the server?
How do I configure the server?
The server is configured using a JSON configuration file, as shown in the example in the README.
What kind of prompts does the prompt optimization support?
What kind of prompts does the prompt optimization support?
The prompt optimization is designed for text prompts used in image generation workflows.