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edamcp

by charliecpeterson
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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 69 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes, but auto_compare and compare_sources both perform schema diff + drift analysis and return a safe/risky/incompatible verdict, making them easy to confuse. A few other pairs (auto_quality vs. run_eda, plot_facet vs. plot_distribution) are related but descriptions clarify their roles.

    Naming Consistency4/5

    The vast majority of tools follow a verb_noun pattern (check_*, clean_*, plot_*, auto_*, detect_*), but a few outliers like data_card, eda_storyboard, and profile break the pattern. The auto_* prefix also mixes verbs and nouns, but overall the conventions are largely consistent.

    Tool Count1/5

    With 69 tools, the server is far beyond the typical 3-15 well-scoped range, and exceeds the 50+ extreme threshold. The sheer number forces agents to scan a massive list for every decision, hurting usability despite the broad feature set.

    Completeness5/5

    The tool surface covers the full data lifecycle: loading, exploring, profiling, quality checking, cleaning, plotting, comparison, reporting, and export. There are no obvious dead ends, and composite macros like auto_explore, auto_quality, and run_eda stitch the pieces together well.

    Maintenance

    ActivityInactive
    ResponsivenessSyncing

    Resources