A

Azure Ai Vision Face MCP Server

Azure AI Vision Face Liveness Detection MCP Server for embedding proof of existence in Agentic AI workflows.
2 points
22

What is the Face Liveness MCP Server?

The Face Liveness MCP Server is a service based on Azure AI Vision that verifies whether a user is a real, living person. It detects facial features and movements to prevent fraud using photos, videos, or masks.

How to use the Face Liveness MCP Server?

It can be integrated into your AI workflow through simple configuration and API calls. The server guides the user through the liveness detection process and returns the verification result.

Applicable Scenarios

Suitable for scenarios requiring identity verification, such as financial transactions, secure logins, and remote authentication, where the user's real existence needs to be ensured.

Main Features

Liveness DetectionDetect whether the user is a real, living person and prevent photo or video fraud
Single-step WorkflowSimplify the user operation process using the 'Tool with Progress' feature
Identity Verification ModeSupport comparing the liveness detection result with pre-stored images for verification

Advantages and Limitations

Advantages
Integrate the powerful functions of Azure AI Vision
Simplify the user verification process
Support multiple verification modes
Save session images for subsequent review
Limitations
Require an Azure AI service subscription
The 'Tool with Progress' feature is not currently supported on Claude Desktop
Require user cooperation to complete the detection actions

How to Use

Install Dependencies
Enter the liveness-server-typescript folder and run the following commands to install the necessary dependencies
Configure VS Code
Create an mcp.json configuration file in the .vscode folder
Configure Claude
Add MCP server settings to the Claude configuration

Usage Examples

Basic Liveness DetectionVerify whether the user is a real, living person
Identity Verification ModeCompare the liveness detection result with pre-stored user images

Frequently Asked Questions

How to save session images?
What is the 'Tool with Progress' feature?
How to enable the identity verification mode?

Related Resources

Introduction Video
Video introducing the functions of the Face Liveness MCP Server
Single-step Workflow Preview Video
Demonstration of the 'Tool with Progress' feature
Face Liveness Detection Documentation
Official documentation for Azure AI Vision face liveness detection
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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