ds-mcp-server
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TDQS
Scored across 26 tools
Every tool has a clearly distinct purpose: interactive plotting, static plotting, statistical tests, data summaries, and web fetching. Even similar chart types (e.g., scatter matrix vs pairplot) are distinguished by output format (interactive vs static). No overlap causes confusion.
All names use snake_case and follow predictable patterns: 'verb_noun' for actions (run_correlation, fetch_webpage), 'plot_interactive_*' and 'plot_static_*' for charts, 'get_*' for summaries. The two custom plot generators are slightly inconsistent ('plotly' vs 'static_plot'), but overall highly consistent.
26 tools is slightly high for a data analysis server, but the redundancy (interactive vs static versions) is a deliberate design choice for flexibility. The count is still reasonable given the breadth of statistical and visualization methods covered.
Core analytical workflow (column summary, correlation, group comparison, regression, plotting) is well-covered, but notable gaps exist: no data loading, cleaning, transformation, or export tools. Advanced modeling beyond linear regression is missing, making the set incomplete for end-to-end analysis.