What is Azure Ai Vision Face Mcp Server

The azure-ai-vision-face-mcp-server hosts the Azure AI Vision Face Liveness MCP Server, which is designed for facial recognition and liveness detection.

Use cases

Use cases include verifying user identity in banking applications, enhancing security in physical access systems, and providing seamless login experiences in mobile applications.

How to use

To use the azure-ai-vision-face-mcp-server, clone the repository, navigate to the project directory, and follow the installation instructions provided in the README.

Key features

Key features include facial recognition, liveness detection, and an easy-to-use demo application to showcase functionality.

Where to use

This MCP server can be used in various fields such as security systems, access control, and user authentication applications.

Azure AI Vision Face MCP-Server

Introducing a Face Liveness MCP Server to allow the embedding of proof of presence during Agentic AI workflows.

Preview of Single Tool with Progress

Here’s a preview of the MCP server in liveness-server-typescript-tool-with-progress folder, using the “Tool with Progress” feature to consolidate the liveness-check workflow into a single step, removing the need for users to type “Done.” Support for this feature in Claude Desktop is not yet available.

Face Liveness Detection

For more information, visit
Face Liveness Detection

Running MCP Server

add dependency

go to liveness-server-typescript folder, run

$ npm install --save-dev typescript @types/node
$ npm install
$ npm run build

then in the build folder, you have index.js

sample for vs code

add .vscode/mcp.json

{
    "servers": {
        "liveness-server": {
            "type": "stdio",
            "command": "node",
            "args": [
                "${workspaceFolder}/liveness-server-typescript/build/stdio.js"
            ],
            "env": {
                "FACEAPI_ENDPOINT": "apiendpoint",
                "FACEAPI_KEY": "apikey",
                "FACEAPI_WEBSITE": "https://liveness-webapp.azurewebsites.net",
                "SESSION_IMAGE_DIR": "${workspaceFolder}/liveness-server-typescript/build/"
            }
        }
    }
}

Sample Claude config should be:

{
  "mcpServers": {
    "liveness-server": {
      "command": "node",
      "args": ["YOUR_PATH/build/stdio.js"],
      "env": {
                "FACEAPI_ENDPOINT": "apiendpoint",
                "FACEAPI_KEY": "apikey",
                "FACEAPI_WEBSITE": "https://yourexample.azurewebsites.net",
                "SESSION_IMAGE_DIR": "D:\somePATH"
        }
    }
  }
}

Localation of session image

If you don’t set the variable for SESSION_IMAGE_DIR, images will not be saved.

Liveness with verify

When you have a verify image set, it will switch liveness with verify mode. sample:

"VERIFY_IMAGE_FILE_NAME": "${workspaceFolder}/liveness-server-typescript/build/0b5db043-951c-49d4-9109-e11cb558bb79/sessionImage.jpg",