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基于Model Context Protocol (MCP)的ComfyUI图像生成服务，通过API调用本地ComfyUI实例生成图片,实现自然语言生图自由

16 stars PythonAI & Machine Learning Updated Sep 18, 2025

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ComfyUI MCP 服务

English
简体中文
Python 3.12+
License

这是一个基于Model Context Protocol (MCP)的ComfyUI图像生成服务，通过API调用本地ComfyUI实例生成图片。

功能特性

  • 通过MCP协议提供图像生成服务，实现自然语言生图自由
  • 支持动态替换工作流中的提示词和尺寸等参数
  • 自动加载workflows目录下的工作流文件作为资源

新增功能记录

  • [2025-06-29] 支持kontext图片编辑工作流
edit-image-85457440acc11a9f386f8ef284fd62f2.jpg
  • [2025-05-11] 支持工作流文件目录动态配置
  • [2025-05-09] 增加docker构建方式,支持Python 3.12+
  • [2025-05-07] 增加pip构建方式
  • [2025-05-06] 把项目目录src/hh修改成src/hh_mcp_comfyui,增加uvx构建方式
  • [2025-04-26] 增加图生图和移除背景样例工作流及支持图生图工具
  • [2025-04-20] 加入文生图生成工具

效果

  • Cherry Studio中使用效果
image-b8f946109d63fe1ccb5e2d63933e3f9e.png
  • Cline中使用效果
cline_gen_image-48d8515e0b59cd313879c62a1546162d.png
ComfyUI_00020_-d9171f87fc9e67fcc1966cdbfb952a0c.png

安装依赖

1. 确保已安装Python 3.12+

2. 使用uv管理Python环境：

  • 安装uv:
bash
# On macOS and Linux.
  $ curl -LsSf https://astral.sh/uv/install.sh | sh

  # On Windows.
  $ powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

  # 更新uv(非必要操作):
  $ uv self update

测试运行服务

  • uvx方式
bash
$ uvx hh-mcp-comfyui

  INFO:hh_mcp_comfyui.server:Scanning for workflows in: C:\Users\tianw\AppData\Local\uv\cache\archive-v0\dp4MTo0f1qL0DdYF_BYCL\Lib\site-packages\hh_mcp_comfyui\workflows
  INFO:hh_mcp_comfyui.server:Starting ComfyUI MCP Server...
  • pip方式
bash
$ pip install hh_mcp_comfyui
  
  $ python -m hh_mcp_comfyui

  INFO:hh_mcp_comfyui.server:Scanning for workflows in: F:\Python\Python313\Lib\site-packages\hh_mcp_comfyui\workflows
  INFO:hh_mcp_comfyui.server:Starting ComfyUI MCP Server...

出现上面的信息表示服务启动成功

使用方法

> **必须确保本地ComfyUI实例正在运行(默认地址: http://127.0.0.1:8188) ComfyUI安装地址**

Cherry Studio、Cline、Cursor等客户端的使用方式

uvx MCP服务配置

bash
{
    "mcpServers": {
      "hh-mcp-comfyui": {
        "command": "uvx",
        "args": [
          "hh-mcp-comfyui@latest"
        ],
        "env": {
          "COMFYUI_API_BASE": "http://127.0.0.1:8188",
          "COMFYUI_WORKFLOWS_DIR": "/path/hh-mcp-comfyui/workflows"
        }
      }
    }
  }

pip MCP服务配置

需要先执行命令窗口先执行：pip install hh_mcp_comfyui

bash
{
    "mcpServers": {
      "hh-mcp-comfyui": {
        "command": "python",
        "args": [
          "-m",
          "hh_mcp_comfyui"
        ],
        "env": {
          "COMFYUI_API_BASE": "http://127.0.0.1:8188",
          "COMFYUI_WORKFLOWS_DIR": "/path/hh-mcp-comfyui/workflows"
        }
      }
    }
  }

docker MCP服务配置

前提是已安装docker

bash
{
    "mcpServers": {
      "hh-mcp-comfyui": {
        "command": "docker",
        "args": [
            "run",
            "--net=host",
            "-v",
            "/path/hh-mcp-comfyui/workflows:/app/workflows",
            "-i",
            "--rm",
            "zjf2671/hh-mcp-comfyui:latest"
        ],
        "env": {
          "COMFYUI_API_BASE": "http://127.0.0.1:8188"
        }
      }
    }
  }

样例工作流copy到指定工作流目录：

（注意：使用下面uvx或pip方式找到你的安装工作流目录的位置把样例工作流添加进去，然后重启你的MCP服务）

  • uvx
bash
$ uvx hh-mcp-comfyui
image-2-f89caf964efbccdad7b6fa2672d1cac0.png
  • pip
bash
#首先安装依赖
  $ pip install hh_mcp_comfyui
  $ python -m hh_mcp_comfyui
image-3-03a069f40492fea9947a351b8707aa3f.png

测试

> 使用MCP Inspector测试服务端工具

  • uvx方式
bash
$ npx @modelcontextprotocol/inspector uvx hh-mcp-comfyui
  • pip方式
bash
$ pip install hh_mcp_comfyui
  $ npx @modelcontextprotocol/inspector python -m hh_mcp_comfyui
    bash
    $ npx @modelcontextprotocol/inspector docker run --net=host -i --rm zjf2671/hh-mcp-comfyui

    然后点击连接如图即可调试：

    image-1-44c6a003ee317093afe5a61cfe028720.png

    使用注意事项（针对没有用过comfyui的特别注意）

    • 默认工作流为`t2image_bizyair_flux`
    • 图片尺寸默认为1024x1024
    • 服务启动时会自动加载workflows目录下的所有JSON工作流文件
    • 如果你使用的是本项目中的样例工作流需要在comfyui中下载个插件，详细操作请查看：样例工作流插件安装教程
    • 如果使用你本地的comfyui工作流的话，先要保证你的工作流能在comfyui正常运行，然后需要导出(API)的JSON格式，并放入到你本地的`/path/hh_mcp_comfyui/workflows`目录中

    添加新工作流

    1. 将工作流JSON文件放入`/path/hh_mcp_comfyui/workflows`目录中

    如果是uvx和pip启动方式请看上面 《样例工作流copy到指定工作流目录》 的使用方式

    2. 重启服务自动加载新工作流

    开发

    项目结构

    code
    .
├── .gitignore
├── .python-version
├── pyproject.toml
├── README.md
├── uv.lock
├── example/              # 示例工作流目录
│   └── workflows/
│       ├── i2image_bizyair_sdxl.json
│       ├── t2image_bizyair_flux.json
│       ├── i2image_cogview4.json
│       └── t2image_sd1.5.json
├── src/                  # 源代码目录
│   └── hh_mcp_comfyui/
│       ├── comfyui_client.py    # ComfyUI客户端实现
│       ├── server.py            # MCP服务主文件
│       └── workflows/           # 工作流文件目录

    ### 初始化项目开发环境：

    bash
    # Clone the repository.
  $ git clone https://github.com/zjf2671/hh-mcp-comfyui.git

  $ cd hh-mcp-comfyui

  # Initialized venv
  $ uv venv

  # Activate the virtual environment.
  $ .venv\Scripts\activate

  # Install dependencies.
  $ uv lock
  Resolved 30 packages in 1ms

  # sync dependencies.
  $ uv sync
  Resolved 30 packages in 2.54s
  Audited 29 package in 0.02ms

    检查服务是否正常

    bash
    $ uv --directory 你本地安装目录/hh-mcp-comfyui run hh-mcp-comfyui

  INFO:__main__:Scanning for workflows in: D:\cygitproject\hh-mcp-comfyui\src\hh_mcp_comfyui\workflows
  INFO:__main__:Registered resource: workflow://t2image_bizyair_flux -> t2image_bizyair_flux.json
  INFO:__main__:Starting ComfyUI MCP Server...

    使用MCP Inspector测试服务端工具

    bash
    $ npx @modelcontextprotocol/inspector uv --directory 你本地安装目录/hh-mcp-comfyui run hh-mcp-comfyui

    MCP配置

    bash
    {
    "mcpServers": {
      "hh-mcp-comfyui": {
        "command": "uv",
        "args": [
          "--directory",
          "项目绝对路径（例如：D:/hh-mcp-comfyui）",
          "run",
          "hh-mcp-comfyui"
        ],
        "env": {
          "COMFYUI_API_BASE": "http://127.0.0.1:8188",
          "COMFYUI_WORKFLOWS_DIR": "/path/hh-mcp-comfyui/workflows"
        }
      }
    }
  }

    贡献

    1. Fork项目

    2. 创建特性分支 (`git checkout -b feature/AmazingFeature`)

    3. 提交更改 (`git commit -m 'Add some AmazingFeature'`)

    4. 推送到分支 (`git push origin feature/AmazingFeature`)

    5. 打开Pull Request

    如有问题可以到公众号中联系我：

    公众号二维码

    👆 扫码关注，发现更多好玩的！

    Frequently asked questions

    What is hh-mcp-comfyui?

    hh-mcp-comfyui is 基于Model Context Protocol (MCP)的ComfyUI图像生成服务，通过API调用本地ComfyUI实例生成图片,实现自然语言生图自由

    How do I install hh-mcp-comfyui?

    Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

    Is hh-mcp-comfyui open source?

    Yes — it is hosted on GitHub at https://github.com/zjf2671/hh-mcp-comfyui and has 16 stars.

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