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hoklims

material-workbench

by hoklims
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Python
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    Deploy Server
    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

    B3.4/5.0

    Scored across 12 tools

    Disambiguation5/5

    Each tool targets a distinct action and resource: archetypes, cache, recipes (multiple operations), rendering, server control, and workspace. No two tools overlap significantly in purpose.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern using lowercase snake_case (e.g., recipe_read, render_run). No deviations or mixed conventions.

    Tool Count5/5

    12 tools cover the domain comprehensively without unnecessary duplication. The number feels appropriate for a material/workbench server.

    Completeness4/5

    Core workflows (read, write, normalize, validate, mutate, render) are present, but there is no explicit delete recipe tool or a way to list all recipes. Minor gaps that agents might work around.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources