MCP.Market

Face Transform MCP server

online · 100% uptime
by AceDataCloud·io.github.AceDataCloud/mcp-face-transform·v2026.11.1.0·1 stars

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

A99/100grade A
What users say
No reviews yet
Be the first
Safety scan
A99/100

full report

Adoption
Growing

1 stars125 downloads/wk

Reviews

Write one

Nobody has reviewed Face Transform yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Face Transform tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.10 · 2026-11-01 · same rubric, same numbers if you re-run it

no findings
  • Code scan13 source files scanned25/25
  • Live reliabilityremote reachable in 1542ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 99/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Face Transform compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
99/100
higher than 99% of 48,255 servers
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
1,670 ms
faster than 5% of 30,031 servers
GitHub stars
1
more than 65% of 28,688 servers
Downloads a week
125
more than 67% of 12,191 servers with a package

Release history: 6 versions in the registry since 2026-08-23, latest 2026-11-01, typically one every 8 days.

Install Face Transform in Claude Code, Cursor or VS Code

claude mcp add --transport http mcp-face-transform https://face.mcp.acedata.cloud/mcp
Add to Cursor

What the publisher says

From the Face Transform repository's README, as published. We do not edit it. Read it on GitHub

MCP Face Transform Server

<!-- mcp-name: io.github.AceDataCloud/mcp-face-transform -->

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

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 .

Service details

<!-- canonical-documentation --> Service details

License

MIT — see LICENSE.

Nothing above is checked by us. What we check is on the safety report.

Face Transform: common questions

Is Face Transform MCP server safe?
Yes, by our scan: it is graded A (99/100). Read the Face Transform safety report
How do I install Face Transform?
It runs remotely at face.mcp.acedata.cloud. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Face Transform need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is Face Transform maintained?
The last commit was 3 days ago (2026-11-01). The latest release is v2026.11.1.0.
Is Face Transform up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does Face Transform compare with other MCP servers?
safety score 99/100 (higher than 99% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 1,670 ms (faster than 5% of 30,031 servers). Full comparison.

More from AceDataCloud →