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Fm MCP Comfyui Bridge

@rerofumi

代码仓库

基本信息

分类

开发工具

许可证

MIT

传输方式

stdio

作者

rerofumi

关于 Fm MCP Comfyui Bridge

LLM MCP server for image generation with ComfyUI

Fm MCP Comfyui Bridge 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "fm-mcp-comfyui-bridge": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-e",
        "."
      ]
    }
  }
}

Fm MCP Comfyui Bridge 工具

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。

概览

What is fm-mcp-comfyui-bridge?

fm-mcp-comfyui-bridge is an MCP server implementation that provides image generation, captioning, and tag parsing by accessing the ComfyUI API. It is designed for developers using AI agent tools who need to interact with a local ComfyUI instance.

How to use fm-mcp-comfyui-bridge?

Install using uv (pip install -e .), then configure the MCP client with the command uv --directory <path> run fm-mcp-comfyui-bridge. Set the ComfyUI endpoint (default http://localhost:8188), create a config.yaml for checkpoint and LoRA settings, and an ollama.yaml for vision model. Use the provided tools generate_picture, get_picture, get_caption, and get_tag via the MCP interface.

Key features of fm-mcp-comfyui-bridge

  • Image generation using ComfyUI
  • Caption generation for generated images
  • Tag analysis (WD1.4) for generated images
  • Simple setup and launch with uv
  • Provides API endpoints as an MCP server

Use cases of fm-mcp-comfyui-bridge

  • Generate images from text prompts via ComfyUI
  • Retrieve PNG binary data of generated images
  • Obtain textual captions of generated images
  • Analyze generated images for WD1.4 tags

常见问题

1

What are the system requirements?

Python 3.13+, a locally running ComfyUI (default http://localhost:8188), the `uv` package manager, and a locally running ollama with a vision model for captioning.

2

How do I install and set up the server?

Clone the repository, run `uv pip install -e .`, then configure your MCP client with the command `uv --directory <path> run fm-mcp-comfyui-bridge`. Optionally copy the sample config file and edit `config.yaml` for your model and LoRA settings.

3

What tools does the server provide?

Four tools: `generate_picture` (generate image from prompt), `get_picture` (get PNG binary), `get_caption` (get text caption), and `get_tag` (get WD1.4 tags). API resources include `info://about`, `help://tools`, and `docs://{topic}`.

4

How do I use a custom workflow?

Place an API-format workflow JSON in `src/fm_mcp_comfyui_bridge/config/workflow/` and create a `custom.yaml` in the config directory. If `custom.yaml` exists, the custom workflow runs; otherwise the default workflow is used.

5

Where does the WD1.4 tag model come from?

The tag analysis part uses source code and model data from SmilingWolf’s wd-tagger. The model data is downloaded on first execution.

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