@ericwanghp
基本信息
CmfyUI_MCP Server is a loosely coupled, extensible, and configuration-driven ModelContextProtocol (MCP) server designed for ComfyUI.
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
ComfyUI_MCP Server is a loosely coupled, extensible, and configuration-driven Model Context Protocol (MCP) server designed for ComfyUI. It supports extending MCP services (tools) such as txt2img and img2img based on user-customized workflows, making it ideal for automation and integration in AI image generation and inference scenarios.
Install by running python install.py, then start the server using run_mcp.bat (Windows) or run_mcp.sh (Linux). The server runs in streamable-http mode by default and automatically registers all tool modules placed in the tools/ directory. Configuration for ComfyUI address and logging is managed via config.ini.
tools/ directory using @mcp.tool() decorator@mcp.resource() decoratorconfig.iniAdd a `.py` file in the `tools/` directory implementing a `register_xxx_tool(mcp)` function and a corresponding `_api.json` file defining its parameter template. The tool is auto-registered without modifying the main server entry.
Python environment with dependencies from `pyproject.toml` (install via `uv pip install -r pyproject.toml`). A running ComfyUI instance must be accessible and configured in `config.ini`.
Generated images are returned as Markdown image URLs from the ComfyUI HTTP API. Workflow JSON templates are stored in the `workflows/` directory. Tool configurations reside in the `tools/` directory.
The project acknowledges several planned improvements: richer error handling and logging, hot-reload of tools and configuration, multi-ComfyUI backend support, multimedia data interaction, and more comprehensive ComfyUI HTTP API integration.
Default transport is streamable-http; the `transport` parameter can be changed in `config.ini`. No authentication mechanism is mentioned in the README.
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