fm-mcp-comfyui-bridge

Name: fm-mcp-comfyui-bridge
Author: rerofumi

@rerofumi

リポジトリ

fm-mcp-comfyui-bridge について

LLM MCP server for image generation with ComfyUI

基本情報

カテゴリ

開発者ツール

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

rerofumi

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",
        "."
      ]
    }
  }
}

ツール

ツールは検出されませんでした

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

FAQ from fm-mcp-comfyui-bridge

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.

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.

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}.

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.

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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