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hidim

hidim

by danmm16
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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

    A3.5/5.0

    Scored across 20 tools

    Disambiguation4/5

    Most tools have clearly distinct roles, and the table-versus-tensor split is consistently reflected in names and descriptions. The few overlaps are paired conversions (tensorize vs tensor_from_wide, tensor_to_table vs slice_tensor) where the descriptions help but an agent may still pause to choose.

    Naming Consistency4/5

    Names are consistently snake_case and generally action-oriented, with predictable prefixes for tensor operations. There are minor deviations: some tools are bare verbs (plot, describe, transform, subset, cluster) while others are noun-like (loadings, neighbors), but the set remains highly readable.

    Tool Count4/5

    Twenty tools is on the heavy side for a single server, but the scope is broad: loading/saving, profiling, plotting, preprocessing, dimensionality reduction, clustering, and tensor operations. Each tool earns its place, though the surface could be slightly tightened.

    Completeness4/5

    The lifecycle is well covered for datasets: create/load, inspect, transform, subset, save, and drop. Notable gaps remain for common table workflows such as joins/merges and explicit group-by aggregation, though some workarounds exist through tensorize and subset.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources