FaceTron Face Embedding

v1.0.0Data Science & MLstable

FaceTron is a high-performance face embedding server using ONNX Runtime, supporting dynamic multi-model loading, offline deployment, and scalable environments. It exposes an OpenAPI endpoint with MCP-compatible metadata and integrates with OpenTeleme

2d106detarcfacearcface-face-recognitionbuffaloface-detection
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What is FaceTron Face Embedding?

FaceTron Face Embedding is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to facetron is a high-performance face embedding server using onnx runtime, supporting dynamic multi-model loading, offline deployment, and scalable environments. it exposes an openapi endpoint with mcp-...

FaceTron is a high-performance face embedding server using ONNX Runtime, supporting dynamic multi-model loading, offline deployment, and scalable environments. It exposes an OpenAPI endpoint with MCP-compatible metadata and integrates with OpenTeleme

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • FaceTron is a high-performance face embedding server using O

Use Cases

Face detection and recognition
ONNX runtime-based face embeddings
13shivam

Maintainer

LicenseMIT
Languagepython
Versionv1.0.0
UpdatedFeb 25, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx facetron

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about FaceTron Face Embedding

What is FaceTron Face Embedding?

FaceTron Face Embedding is a Model Context Protocol (MCP) server that facetron is a high-performance face embedding server using onnx runtime, supporting dynamic multi-model loading, offline deployment, and scalable environments. it exposes an openapi endpoint with mcp-compatible metadata and integrates with openteleme It connects AI assistants to external tools and data sources through a standardized interface.

How do I install FaceTron Face Embedding?

Follow the installation instructions on the FaceTron Face Embedding GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with FaceTron Face Embedding?

FaceTron Face Embedding works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is FaceTron Face Embedding free to use?

Yes, FaceTron Face Embedding is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "facetron": { "command": "npx", "args": ["-y", "facetron"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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