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Face Transform

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AceDataCloud Face Transform MCP: keypoints, beautify, age/gender, swap, cartoon, liveness

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AceDataCloud Face Transform MCP: keypoints, beautify, age/gender, swap, cartoon, liveness

README

A Model Context Protocol (MCP) server that exposes the AceDataCloud Face Transform API — face keypoint detection, beautification, age/gender transform, face swap, cartoonization, and liveness detection.

Status: All Face APIs are currently in Alpha. Interfaces may evolve.

Features

  • Keypoint detection — 90+ landmarks per face, multi-face supported
  • Beautification — smoothing, whitening, face slimming, eye enlarging
  • Age transform — age or de-age a portrait
  • Gender transform — swap perceived facial gender characteristics
  • Face swap — move a source face onto a target image (with optional async webhook)
  • Cartoonize — render a portrait in animated / cartoon style
  • Liveness detection — distinguish live captures from printed / screen photos

Installation

pip install mcp-face-transform

Configuration

Set your AceDataCloud API token:

export ACEDATACLOUD_API_TOKEN=your_token_here

Get your token from https://platform.acedata.cloud.

Usage

stdio mode (default)

mcp-face-transform

HTTP mode

mcp-face-transform --transport http --port 8000

Tool Reference

Tool Description
face_detect_keypoints Detect 90+ keypoints per face (multi-face supported).
face_beautify Smoothing, whitening, face slimming, and eye enlarging.
face_change_age Age or de-age a portrait.
face_change_gender Swap perceived facial gender characteristics.
face_swap Move a source face onto a target image (with optional async webhook).
face_cartoonize Render a portrait in cartoon / animated style.
face_detect_liveness Distinguish a live capture from a printed / screen photo.
face_get_usage_guide Concise client-side tool usage reference.

Example

"Detect all faces in https://example.com/group.jpg and return their keypoints."
→ face_detect_keypoints(image_url="https://example.com/group.jpg")

"Lighten and smooth my portrait."
→ face_beautify(image_url="https://example.com/me.jpg", smoothing=15, whitening=25)

"Replace the face in the scene with the headshot."
→ face_swap(
    source_image_url="https://example.com/headshot.jpg",
    target_image_url="https://example.com/scene.jpg",
  )

Configuration in Claude Desktop / Claude Code

{
  "mcpServers": {
    "face-transform": {
      "command": "uvx",
      "args": ["mcp-face-transform"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_api_token_here"
      }
    }
  }
}

Or use the hosted endpoint with bearer auth:

{
  "mcpServers": {
    "face-transform": {
      "url": "https://face.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer your_api_token_here"
      }
    }
  }
}

Development

pip install -e ".[dev,test]"
pytest --cov=core --cov=tools
ruff check .

License

MIT — see LICENSE.

from github.com/AceDataCloud/FaceTransformMCP

Install Face Transform in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install mcp-face-transform

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add mcp-face-transform -- uvx mcp-face-transform

FAQ

Is Face Transform MCP free?

Yes, Face Transform MCP is free — one-click install via Unyly at no cost.

Does Face Transform need an API key?

No, Face Transform runs without API keys or environment variables.

Is Face Transform hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Face Transform in Claude Desktop, Claude Code or Cursor?

Open Face Transform on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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