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CSV Insights MCP

by ppiotis
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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 8 tools

    Disambiguation4/5

    Most tools have distinct purposes (list, query, group_by, pivot_table, clean_preview, create_chart), but summarize_csv and profile_csv both return per-column statistics and could be confused. Descriptions help distinguish them (plain-language highlights vs. type inference/samples), so overlap is manageable.

    Naming Consistency4/5

    Consistent snake_case throughout, but verb placement varies: verb_noun (list_csv_files, summarize_csv, query_csv, create_chart) mixed with noun-style names (group_by, pivot_table) and an awkward clean_preview. Still readable and predictable enough.

    Tool Count5/5

    Eight tools is well-scoped for a CSV insight server, and each tool covers a distinct analysis capability (profiling, stats, querying, grouping, pivoting, cleaning, charting). No filler tools.

    Completeness4/5

    Strong coverage of the read/analyze lifecycle (list, profile, summarize, query, group, pivot, clean, chart). Minor gaps: no way to export query/group results and no cross-file join, but the core analysis surface is solid.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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