# Azure AI Vision Face API MCP Server

> Use this tool when you need to detect and recognize faces in images or videos, enabling attribute detection, image comparison, and face recognition in Agentic AI workflows. It solves problems such as identity verification, facial analysis, and people tracking, providing outputs like face attributes, comparison results, and recognition matches. It takes image or video inputs and returns detailed face data, making it ideal for use cases requiring advanced facial analysis and recognition capabilities.

Canonical page: https://skillsregistry.net/skills/azure-samples-azure-ai-vision-face-api-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/azure-samples-azure-ai-vision-face-api-mcp-server

## Description

Enables face detection and recognition in Agentic AI workflows using Azure Face API, supporting attribute detection, image comparison, and face recognition.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uhskqql4c1)
- **Repository:** <https://github.com/Azure-Samples/azure-ai-vision-face-api-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "azure-samples-azure-ai-vision-face-api-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/azure-samples-azure-ai-vision-face-api-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/azure-samples-azure-ai-vision-face-api-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt