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io.github.hpdkhoa/poselab-mcp

by hpdkhoa
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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    B3.1/5.0

    Scored across 17 tools

    Disambiguation5/5

    Each tool targets a distinct action or spatial question: loading/rig setup, posing modes, rifle/part translation, wrist IK, snapshot save/load, geometry queries, solving, and rendering. Even the eye-related tools (faces_eye, visible, screen) measure different things and are differentiated by their descriptions.

    Naming Consistency4/5

    All names are lowercase snake_case, so casing and separators are consistent. The only minor deviation is that some tools are verb-led actions while others are noun/adjective-style queries (where, distance, visible), so it is not a strict verb_noun pattern.

    Tool Count4/5

    17 tools is slightly above the typical 3-15 range, but the domain is a specialized 3D rig/rifle posing and analysis lab with many distinct operations. Each tool appears to cover a separate capability, so the count is reasonable rather than bloated.

    Completeness4/5

    The surface covers the core lifecycle: list/load rigs, describe conventions, reset/clip posing, manipulate rifle and parts, wrist IK, save/load snapshots, spatial diagnostics, goal solving, and rendering. Minor gaps include snapshot management (list/delete) and direct hand-orientation control, but the main workflows are complete.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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