A
licenseNot graded
qualityD
maintenanceEnables face detection and recognition in Agentic AI workflows using Azure Face API, supporting attribute detection, image comparison, and face recognition.
9
MIT
mcp-face-transform
by AceDataCloud
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TDQS
A3.7/5.0
Scored across 8 tools
Disambiguation5/5
Each tool targets a distinct face transformation or detection task. There is no overlap: age change, cartoonize, keypoint detection, beautification, gender change, swap, liveness detection, and a usage guide all have clearly different purposes.
Naming Consistency5/5
All tool names follow a consistent 'face_' prefix followed by a descriptive verb or verb phrase in snake_case (e.g., face_change_age, face_detect_keypoints). This pattern makes the tool set easy to navigate and select from.
Tool Count5/5
With 8 tools, the server is well-scoped for face-related transformations and detections. Each tool addresses a specific and non-trivial capability, and the count feels appropriate for a focused image processing domain.
Completeness4/5
The tool set covers the most common face manipulation requests (aging, cartoonizing, beautifying, gender swap, swapping) and detection needs (keypoints, liveness). The included usage guide is a nice touch. A minor gap could be the absence of a general face_generate tool, but the core workflow is well-covered.
Maintenance
ActivityMaintained
ResponsivenessNo issues