# 3DiVi Face SDK MCP Server

> 3DiVi Face SDK MCP Server — cvartel-face-recognition-mcp-server. Use this tool when you need to perform on-premise face recognition, liveness detection, and identity verification without relying on cloud services. It solves problems related to secure and private biometric authentication by providing a local server for AI agents to access 3DiVi Face SDK tools. The server accepts face data as input and outputs verification results, ideal for use cases requiring high security and data privacy.

Canonical page: https://skillsregistry.net/skills/cvartel-face-recognition-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/cvartel-face-recognition-mcp-server

## Description

Local MCP server for on-premise face recognition, liveness detection, and identity verification, enabling AI agents to use 3DiVi Face SDK tools without cloud dependency or SDK integration code.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bbm7vb21lo)
- **Repository:** <https://github.com/Cvartel/Face-Recognition-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": "cvartel-face-recognition-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cvartel-face-recognition-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cvartel-face-recognition-mcp-server/pull`

---
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