Which integrations are available for this server?

Utilizes the Flux-fill model for AI-powered face and background fusion, enabling seamless integration of facial images into ID photo backgrounds

How do I use Face-ID Photo Fusion MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Face-ID Photo Fusion MCP Server merge face from selfie.jpg with passport_background.png and save to my_docs folder" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Readme

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

Related MCP server: MCP Image Placeholder Server

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

修改server_address为自己的MCP服务器地址
修改mcp.run()中的MCP服务器端口和路径
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