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inspire-mcp

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    TDQS

    A3.7/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool targets a distinct stage of the headless Inspire workflow: status check, Python execution, model inspection, result reading, and OptiStruct export. The main overlap is that inspire_run_python is a generic escape hatch that could technically replicate model_info, h3d_summary, or export, but the dedicated tools' descriptions make their intended scope clear.

    Naming Consistency4/5

    All five tools share the inspire_ prefix and snake_case, giving a predictable namespace. Minor deviation: three names are noun-style (status, model_info, h3d_summary) while two are verb_noun (run_python, export_optistruct), so the verb convention isn't fully uniform.

    Tool Count5/5

    Five tools is well within the ideal 3-15 range and each covers a distinct workflow need without redundancy. The generic run_python handles arbitrary scripting, so no bloat of convenience wrappers is needed.

    Completeness4/5

    The surface covers discovery, execution, model inspection, results extraction, and export — a coherent lifecycle for headless Inspire automation. Gaps remain: there is no dedicated tool to run the solver (export explicitly does not solve) and no model save/conversion flow, though inspire_run_python can bridge most of these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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