# io.github.AceDataCloud/mcp-face-transform

> Use this tool when you need to transform and analyze facial images, as it provides core functionality for keypoint detection, beautification, age and gender estimation, face swapping, cartoonization, and liveness detection. It solves problems related to facial image processing, such as enhancing or modifying portraits, and detecting facial attributes. With input images and output transformed images or facial analysis data, this tool is ideal for use cases in computer vision, social media, and security applications.

Canonical page: https://skillsregistry.net/skills/io-github-acedatacloud-mcp-face-transform  
JSON: https://api.skillsregistry.net/v1/skills/io-github-acedatacloud-mcp-face-transform

## Description

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

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 2026.7.2.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.AceDataCloud%2Fmcp-face-transform)
- **Repository:** <https://github.com/AceDataCloud/FaceTransformMCP>

## Use it

MCP endpoint published by the skill: `https://face.mcp.acedata.cloud/mcp`

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": "io-github-acedatacloud-mcp-face-transform"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-acedatacloud-mcp-face-transform` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-acedatacloud-mcp-face-transform/pull`

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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