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Comfy MCP Server

@lalanikarim

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

lalanikarim

关于 Comfy MCP Server

A server using FastMCP framework to generate images based on prompts via a remote Comfy server.

Comfy MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "comfy-mcp-server": {
      "command": "uvx",
      "args": [
        "comfy-mcp-server"
      ]
    }
  }
}

Comfy MCP Server 工具

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点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Comfy MCP Server?

Comfy MCP Server uses the FastMCP framework to generate images based on prompts via a remote Comfy server. It submits prompts to a Comfy server and retrieves generated images.

How to use Comfy MCP Server?

Set the required environment variables (COMFY_URL, COMFY_WORKFLOW_JSON_FILE, PROMPT_NODE_ID, OUTPUT_NODE_ID, OUTPUT_MODE) and optionally OLLAMA_API_BASE and PROMPT_LLM. Launch the server with uvx comfy-mcp-server. Configure it in Claude Desktop by adding the command and environment variables to the MCP server configuration.

Key features of Comfy MCP Server

  • generate_image(prompt, ctx) submits a prompt and returns the generated image.
  • generate_prompt(topic, ctx) creates an image generation prompt from a topic.
  • Supports optional Ollama integration for prompt generation.
  • Works with any exported ComfyUI workflow JSON file.
  • Outputs images as URLs or local files via OUTPUT_MODE.

Use cases of Comfy MCP Server

  • Generate images from text prompts using a remote Comfy server.
  • Automatically enrich a topic into a detailed image-generation prompt via Ollama.
  • Integrate image generation into MCP clients like Claude Desktop.
  • Use custom ComfyUI workflows without modifying the server code.

常见问题

1

What does the server do?

It generates images by sending prompts to a remote Comfy server and retrieving the results.

2

What prerequisites are needed?

You need `uv` (Python package manager), a Comfy server URL, and an exported workflow JSON file from ComfyUI.

3

How do I configure the environment variables?

Set `COMFY_URL`, `COMFY_WORKFLOW_JSON_FILE`, `PROMPT_NODE_ID`, `OUTPUT_NODE_ID`, and `OUTPUT_MODE`. Optionally set `OLLAMA_API_BASE` and `PROMPT_LLM` for prompt generation via Ollama.

4

Is Ollama required?

No, Ollama is optional. The server can generate images without it, but if Ollama is available it can be used to turn a topic into a detailed prompt.

5

What output formats are supported?

The server supports two modes via `OUTPUT_MODE`: `url` to return an image URL, or `file` to return the image as a file.

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