A
licenseNot graded
qualityC
maintenanceEnables AI image processing tools such as vectorization, background removal, upscaling, and logo generation from any MCP-compatible client like Claude Code or Cursor.
13 npm
MIT
Photo AI Studio MCP Server
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TDQS
A4.2/5.0
Scored across 8 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: browse_themes for theme discovery, create_video for video generation, edit_image for photo editing, generate_photo for AI photo generation, get_account for account info, get_prediction and list_predictions for status, and upload_image for image upload. There is no overlap between these functions.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case (e.g., browse_themes, create_video, edit_image, generate_photo, get_account, get_prediction, list_predictions, upload_image). The verbs are imperative and descriptive, providing a predictable naming convention.
Tool Count5/5
With 8 tools, the server covers the essential operations of a photo AI studio: uploading, generating, editing, creating videos, checking account info, and managing predictions. The number is well-scoped and neither too sparse nor too bloated.
Completeness4/5
The tool set covers the main lifecycle: upload, generate/edit/video, and check predictions. Minor gaps exist, such as no tool to delete uploaded images or cancel predictions, but these are non-critical for common workflows. The included operations are comprehensive.
Maintenance
ActivityMaintained
ResponsivenessNo issues