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Face-ID Photo Fusion MCP Server

by boluoyanshu
GitHub
Python
1
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该项目提供了一个MCP服务器，该服务器可以接受本地指定的人脸图像和证件图像，并交由指定的Comfyui服务器进行人脸与背景的融合，最终在本地保存融合的结果。

项目框架

├── README.md ├── requirements.txt ├── server.py MCP服务器 ├── source_test.png 人脸图像示例 ├── target_test.jpg 证照图像示例 ├── 4.jpg 返回结果示例 └── mask_to_box_node.py 仿射变换模块

使用方法

1. 安装依赖

pip install -r requirements.txt

2. 安装Comfyui相关插件和模型

包含APersonMaskGenerator插件和使用到的flux-fill模型

3. 修改参数

  1. 修改server_address为自己的MCP服务器地址
  2. 修改mcp.run()中的MCP服务器端口和路径
  3. 如有需要，可以适当修改仿射变换中的目标区域坐标dst_pts

4. 运行

python server.py

MCP Client

以Claude为例，在claude_desktop_config.json文件中添加以下内容，替换为自己的MCP server地址

{ "mcpServers": { "FLUX": { "command": "npx", "args": ["mcp-remote", "http://your mcp server address"] } } }

示例

提示词需包含三个参数，人脸图像路径，证照图像路径和保存文件夹路径。

source的路径为"D:\study\2025Autumn\code\source_test.jpg",target的文件路径为"D:\study\2025Autumn\code/target_test.jpg",帮我使用flux模型进行人脸与背景的融合，并保存到"D:\study\code\mayi\output"文件夹中

返回结果

待改进方向

  1. 初次运行时由于要加载大模型，mcp server端运行时间较长，大模型端可能会报错 No result received from client-side tool execution.(但最后成功保存结果没有问题)
  2. flux模型填充效果 可以通过调整prompt等参数优化

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How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

A server that integrates with Claude to merge facial images with ID photo backgrounds using ComfyUI, allowing users to seamlessly replace faces in identity documents through natural language commands.

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