Profile a tabular dataset to obtain shape, data types, null percentages, unique counts, distributions, and flagged PII column names. Supports CSV, TSV, Excel, SPSS, Stata files.
AGPL 3.0
225,627 tools. Last updated 2026-06-22 20:21
"Programs for Statistical Analysis: R, STATA, SPSS" matching MCP tools:
- Export knowledge-graph data from AlphaFold Sovereign for downstream analysis. Supports entities like proteins, variants, diseases, and drugs, outputting JSON-serializable dicts for ML, statistical analysis, or bioinformatics pipelines.Apache 2.0
- Search Korean national R&D programs (사업) to obtain program ID, name, year, managing agency, ministry, and budget. Data sourced from ntis.go.kr.MIT
- Run Stata do-files to execute regression analysis and statistical operations, returning the execution log for review.AGPL 3.0
- Perform Monte Carlo analysis on circuits by randomly varying component values within specified tolerances to obtain statistical results for AC, transient, or DC analysis.GPL 3.0
- Perform quick statistical analysis on database tables to get row counts, column distributions, and top values for data exploration.MIT
Matching MCP Servers
- AlicenseAqualityAmaintenanceAn MCP server that lets Large Language Models interact with Stata software to perform regression analysis and other statistical operations.Last updated4203AGPL 3.0
- Alicense-qualityAmaintenanceProvides a bridge between Stata statistical software and code editors like VS Code and Cursor, enabling users to run Stata commands directly from the editor, view output in real-time, and get AI-powered assistance with Stata coding.Last updated438MIT
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- Run statistical analysis on a dataset to uncover patterns and insights. Provide a dataset ID to receive summary statistics and distributions.MIT
- Calculate factorial, permutations P(n,r), and combinations C(n,r) for given n and optional r.MIT
- Generate visualization code for statistical analysis in R, Python, or Stata to create coefficient plots, marginal effects, residual plots, power curves, and forest plots.
- Interpret statistical model fit metrics like R², AIC, BIC, and Pseudo-R² to evaluate model performance and compare models for quantitative research.
- Fit a linear model y = mx + b to data points, calculating slope, intercept, and R² for statistical analysis.Apache 2.0
- Convert t-statistics to effect size r (correlation coefficient) for statistical analysis by providing t-statistic and degrees of freedom values.Apache 2.0
- Generate R code for statistical analysis, diagnostics, and visualization to support quantitative research workflows.
- Generate Stata code for statistical analysis, diagnostics, and data visualization to support quantitative research workflows.
- Generate statistical code for meta-analysis in R or Stata to perform basic analysis, meta-regression, subgroup analysis, or sensitivity testing.
- Perform statistical analysis on a column in Excel or CSV files to calculate descriptive statistics and identify patterns in your data.MIT
- Test time series data for stationarity using statistical measures to determine if properties remain constant over time for reliable analysis.Apache 2.0
- Get a quick statistical snapshot of a table: row count, null rates, cardinality, numeric min/max/avg, and date ranges. Optionally drill into a specific column for deeper analysis.MIT
- Verify a plaintext password against an existing scrypt hash by recomputing the derivation from the hash's N, r, p, and salt parameters. Returns match status, parsed parameters, and strength analysis.MIT
- Get the PDF download URL for an invoice. The URL requires an R-Auth header for authentication.MIT