vision-primitives-mcp
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TDQS
Scored across 27 tools
Multiple tools overlap significantly in purpose: locate_object, som_locate, cursor_locate, and cv_locate all return coordinates; describe_image, analyze_image, and compare_image/compre_infer all analyze visual content. While each has a distinct method, an agent would struggle to choose the right one without carefully parsing dense descriptions.
Tool names mix conventions: some use verb_noun (describe_image, crop_image), others use prefix_verb (ui_locate, cv_locate, som_locate), and a few are noun-y (vision_health, reason_graph). Even within the screen_* group, screen_capture vs screen_click are inconsistent in verb placement. This makes the naming unpredictable.
With 27 tools, the server exceeds the range where each tool feels essential. Several tools (e.g., cursor_locate vs som_locate, compare_infer vs compare_images) could be merged, and the count feels heavy for a 'vision primitives' server.
The toolkit covers a broad range: OCR, description, structured analysis, localization, annotation, cropping, UI parsing, multi-image comparison, anomaly scanning, and screen control. There are few obvious gaps for a vision-oriented server, though some overlapping implementations suggest room for consolidation.