A
licenseB
qualityF
maintenanceEnables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.
2
544
MIT
MCP Tabular Data Analysis Server
by K02D
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TDQS
A3.8/5.0
Scored across 16 tools
Disambiguation4/5
Most tools have distinct purposes, but there is some overlap between compute_correlation and statistical_test (which includes correlation tests) and between filter_rows and export_data (which includes filtering). The descriptions help clarify differences, but an agent might occasionally misselect between these pairs.
Naming Consistency5/5
All tool names follow a consistent verb_noun or verb_adjective_noun pattern in snake_case, such as analyze_time_series, create_pivot_table, and detect_anomalies. There are no deviations in naming conventions, making the set highly predictable and readable.
Tool Count4/5
With 16 tools, the count is slightly high but reasonable for a comprehensive tabular data analysis server. It covers a wide range of operations without feeling excessively bloated, though it borders on the upper limit of typical scope.
Completeness5/5
The tool set provides complete coverage for tabular data analysis, including data loading (list_data_files, list_tables), exploration (describe_dataset, auto_insights), transformation (filter_rows, merge_datasets), analysis (statistical_test, analyze_time_series), visualization (generate_chart), and export (export_data). No obvious gaps exist for the domain.
Maintenance
ActivityInactive
ResponsivenessNo issues