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LS-PrePost-MCP

by lwz20210407
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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

    C2.5/5.0

    Scored across 30 tools

    Disambiguation3/5

    Several tools overlap heavily: extract_d3plot_nodal, extract_nodal_results, extract_node_history, and extract_lsreader_nodal all pull nodal data, and the six inspect_* tools (d3plot_scl, d3plot_database, lsreader, binout, keyword_deck, model) target similar inventory goals. Descriptions do differentiate by backend (LASSO/SCL/LS-Reader/PyDYNA), but the distinctions are subtle and easy to misselect on.

    Naming Consistency4/5

    Names follow a clear verb_noun convention (list_parts, inspect_model, create_shell_plate, export_keyword, read_job) consistently in snake_case. Minor deviations like run_on_version and the backend-suffixed inspect_d3plot_scl/extract_lsreader_nodal are still readable and predictable.

    Tool Count3/5

    30 tools is on the heavy side for a single pre/post-processor server, especially with the many parallel inspect_* and extract_* variants multiplied across backends. The breadth is partly justified by the domain's multiple file formats and Python ABI variants, but the set feels over-expanded.

    Completeness4/5

    Coverage spans inspection, extraction, material/mesh creation, keyword export, job management, rendering, and discovery, which is broad for the domain. Gaps exist (no delete/destructive operations and limited model editing beyond elastic material and a shell plate), but core lifecycle workflows are workable.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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