Azure Ai Vision Face MCP Server
Azure AI Vision Face Liveness Detection MCP Server for embedding proof of existence in Agentic AI workflows.
rating : 2 points
downloads : 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
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