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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
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.
What You'll Need
Set these up before or after installing:
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 GitHubFrom 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
| 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.
Reviews
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