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Robotics & Spatial Vision MCP

by Whambammy
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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.7/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a clearly distinct algorithmic task: point cloud registration, navmesh baking, inverse kinematics, ground plane filtering, and camera projection matrices. There is no overlap in purpose and an agent can select unambiguously from names alone.

    Naming Consistency4/5

    All names are consistently snake_case and descriptively compound (domain + algorithm/method), so style is uniform. The only weakness is that they are noun phrases rather than a predictable verb_noun pattern, and the internal ordering of qualifiers varies slightly across tools.

    Tool Count5/5

    Five tools is well within the ideal range and each maps to a distinct spatial-vision capability, so nothing feels padded or redundant. The set is tightly scoped to a specialized robotics domain.

    Completeness4/5

    The surface covers several core spatial perception tasks (registration, segmentation, kinematics, projection, navigation), giving a usable toolkit. However a broad 'Robotics & Spatial Vision' domain suggests missing operations like point-cloud I/O, coordinate transforms, forward kinematics, or path planning, which agents would need to work around.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources