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mcp-vision

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by groundlight
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    TDQS

    A3.5/5.0

    Scored across 2 tools

    Disambiguation4/5

    Both tools involve object detection, but they serve distinct purposes: locate_objects returns detections while zoom_to_object crops to the best object. The overlap is minimal, and descriptions clarify the intended usage, though an agent might occasionally hesitate between the two.

    Naming Consistency5/5

    Both tool names follow a consistent verb_noun pattern (locate_objects, zoom_to_object), making them predictable and easy to distinguish at a glance.

    Tool Count3/5

    With only 2 tools, the server feels thin for a general vision MCP, but it is narrowly scoped to object detection and zooming. This borderline count is acceptable for a specialized utility, though it lacks breadth.

    Completeness3/5

    The surface covers the core workflow of detecting and cropping objects, but it omits common vision operations like classification or segmentation. For the narrow purpose stated, it is functional, but the 'vision' name implies a broader scope that is not fulfilled.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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