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`.
@zjf2671
基本情報
基于Model Context Protocol (MCP)的ComfyUI图像生成服务,通过API调用本地ComfyUI实例工作流生成图片,实现自然语言生图自由
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"hh-mcp-comfyui": {
"command": "uvx",
"args": [
"hh-mcp-comfyui"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
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.
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.
workflows directoryYou need Python 3.12+ and a running local ComfyUI instance at `http://127.0.0.1:8188`.
The default workflow is `t2image_bizyair_flux`, and the default image size is 1024x1024.
Place exported API-format JSON workflow files into the `workflows` directory under the installation path, then restart the MCP service.
Download sample workflows from the provided GitHub link, copy them into the `workflows` directory of your installation location, then restart the MCP service.
Yes, if using the sample workflows from this project, you must install a specific ComfyUI plugin. See the linked tutorial for installation instructions.

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