Back to Browse

FaceTransform MCP Server

Developer ToolsUse Caution4.8MCP RegistryLocalRemote
Free

Server data from the Official MCP Registry

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

About

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

Remote endpoints: streamable-http: https://face.mcp.acedata.cloud/mcp

Security Report

4.8
Use Caution4.8High Risk

This MCP server is well-structured with proper authentication and reasonable permissions. Authentication is required via API tokens (env vars or OAuth), and the code lacks malicious patterns or dangerous operations. Minor code quality issues around broad exception handling and logging do not significantly impact the overall security posture. Permissions align well with the server's stated purpose of face analysis and transformation. Supply chain analysis found 7 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.

6 files analyzed · 13 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

process_spawn

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

API token from Ace Data Cloud (https://platform.acedata.cloud)Required

Environment variable: ACEDATACLOUD_API_TOKEN

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

MCP Face Transform Server

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

ToolDescription
face_detect_keypointsDetect 90+ keypoints per face (multi-face supported).
face_beautifySmoothing, whitening, face slimming, and eye enlarging.
face_change_ageAge or de-age a portrait.
face_change_genderSwap perceived facial gender characteristics.
face_swapMove a source face onto a target image (with optional async webhook).
face_cartoonizeRender a portrait in cartoon / animated style.
face_detect_livenessDistinguish a live capture from a printed / screen photo.
face_get_usage_guideConcise 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.

Reviews

No reviews yet

Be the first to review this server!

FaceTransform MCP Server - AceDataCloud Face Transform MCP: keypoints, beautify, | MCP Marketplace