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holoviz-viz-mcp

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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

    A3.6/5.0

    Scored across 36 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes with detailed descriptions. Some overlap exists (e.g., analyze_data vs. auto_eda vs. data_quality_report) but descriptions emphasize different aspects. Overall, an agent can reliably distinguish tools.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern in snake_case (e.g., analyze_data, create_plot, export_plot). There are no deviations or mixed conventions, making it easy to predict tool names.

    Tool Count3/5

    With 36 tools, the server is on the heavier side for a typical MCP server. While it provides extensive functionality for visualization and data analysis, the count feels slightly bloated and could be streamlined by merging related tools.

    Completeness5/5

    The tool surface is exceptionally complete: data loading, transformation, analysis, statistical testing, plotting, animation, dashboards, crossfilters, streaming, and session management are all covered. There are no obvious gaps for the intended domain.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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