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Fm MCP Comfyui Bridge

@rerofumi

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基本情報

カテゴリ

開発者ツール

ライセンス

MIT

トランスポート

stdio

作者

rerofumi

Fm MCP Comfyui Bridge について

LLM MCP server for image generation with ComfyUI

Fm MCP Comfyui Bridge の設定

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

Fm MCP Comfyui Bridge のツール

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。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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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