Hh Mcp Comfyui

What is Hh Mcp Comfyui?

Hh Mcp Comfyui is a ComfyUI image generation service built on the Model Context Protocol (MCP). It generates images by calling a local ComfyUI instance via API, enabling natural language image generation through MCP-compatible clients.

How to use Hh Mcp Comfyui?

Install the package via uvx hh-mcp-comfyui or pip install hh_mcp_comfyui && python -m hh_mcp_comfyui. Ensure a local ComfyUI instance is running at http://127.0.0.1:8188, then configure client tools (Cherry Studio, Cline, Cursor) with the provided MCP JSON configuration.

Key features of Hh Mcp Comfyui

• Generates images via natural language through MCP protocol
• Dynamically replaces prompts, sizes, and other workflow parameters
• Auto-loads all JSON workflow files from the workflows directory
• Works with API-exported ComfyUI workflows

Use cases of Hh Mcp Comfyui

• Generate images by describing them in natural language in chat clients
• Automate image creation within AI coding assistants like Cline or Cursor
• Use custom ComfyUI workflows for specialized image generation tasks

FAQ from Hh Mcp Comfyui

What are the requirements to run Hh Mcp Comfyui?

You need Python 3.12+ and a running local ComfyUI instance at http://127.0.0.1:8188.

What is the default workflow and image size?

The default workflow is t2image_bizyair_flux, and the default image size is 1024x1024.

How do I add my own workflows to Hh Mcp Comfyui?

Place exported API-format JSON workflow files into the workflows directory under the installation path, then restart the MCP service.

Where should I put the sample workflows?

Download sample workflows from the provided GitHub link, copy them into the workflows directory of your installation location, then restart the MCP service.

Do I need additional plugins for sample workflows?

Yes, if using the sample workflows from this project, you must install a specific ComfyUI plugin. See the linked tutorial for installation instructions.