eda-mcp
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TDQS
Scored across 6 tools
Each tool has a clearly distinct purpose: loading data, per-column statistics, bulk statistics, diagnostic plots, correlations, and full report generation. Descriptions further clarify when to use each, with references between tools to avoid confusion.
All tool names follow a consistent verb_noun snake_case pattern: load_dataset, get_column_summary, get_all_summaries, get_diagnostic_plot, get_correlations, generate_report. No mixing of styles or vague verbs.
With 6 tools, the server is well-scoped for its EDA purpose. Each tool serves a necessary function without redundancy, and the count is appropriate for a focused toolkit.
The tool surface covers the core EDA workflow: loading, single-column summaries and plots, multi-column summaries, correlations, and a comprehensive report. Minor gaps like bivariate categorical analysis or data profiling exist, but the set is reasonably complete for exploratory analysis.