Count unique values in a specified drug field (e.g., dosage form) across FDA-approved drugs for statistical analysis. Optionally filter by search criteria.
Apache 2.0
705,703 tools. Updated 2026-10-26 17:06
"Programs for Statistical Analysis: R, STATA, SPSS" matching MCP tools:
- List BPS publications containing in-depth analysis and statistical reports. Filter by year, month, domain, or keyword to narrow results.MIT
- Check SPSS MCP server status to see available capabilities (installed vs file-only), SPSS path, library versions, and configuration. Call first to understand available tools.MIT
- Identify the correct statistical test for any study design. Specify outcome type, design, group count, normality, and variance to receive test recommendation, assumptions, SPSS path, R code, and APA reporting template.MIT
- Export prepared ENAHO datasets to Stata, SPSS, CSV, Excel, or Parquet, optionally with value labels for Stata. Prevents truncated Excel files by refusing datasets over Excel's row limit.MIT
- Check the SPSS MCP server status to see which capabilities are available, including SPSS installation mode, path, library versions, and configuration. Call this first to determine which analysis tools are ready to use.MIT
Matching MCP Servers
- AlicenseAqualityAmaintenanceAn MCP server that lets Large Language Models interact with Stata software to perform regression analysis and other statistical operations.44,490 PyPI267AGPL 3.0
- AlicenseAqualityBmaintenanceEnables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.42AGPL 3.0
Matching MCP Connectors
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Read Lightspeed R-Series items, stock, sales, customers and POs; create customers and set stock.
- Verify the SPSS MCP server's current status, including available capabilities, SPSS mode, library versions, and configuration, to determine which tools can run.MIT
- Recommends statistical, econometric, causal, or machine learning methods for research questions, data settings, and experiments, with assumptions and R/Python packages.MIT
- Retrieve the unicefdata package API reference for Python, R, or Stata. Get function signatures, parameters, and usage examples to write reproducible scripts from conversational exploration.MIT
- Summarize SPSS .sav files with case count, variables, and descriptives. No SPSS installation needed.MIT
- Get a local summary of SPSS .sav files: case and variable counts, variable list, and descriptive statistics, no SPSS installation required.MIT
- Load a data file into an R session for use by other statistical tools. Supports CSV, Excel, SPSS, Stata, SAS, RDS, RData, JSON, and Parquet, returning dimensions and column summaries.MIT
- Analyze a single column's statistical properties including data type, null values, and numerical summary for data quality assessment and feature understanding.Apache 2.0
- Convert CSV, Excel, SPSS, Stata, or Parquet data into an Mplus .dat file with missing values flagged. Get ready-to-paste DATA and VARIABLE blocks plus a summary of renamed or recoded variables.MIT
- Convert CSV to SPSS .sav format directly, no IBM SPSS installation required.MIT
- Run within-subject repeated-measures ANOVA in SPSS by specifying the within-factor name, number of levels, and outcome variables. Get statistical results directly.MIT
- List all statistical tests supported by the advisor, including their SPSS menu paths, to help users find and run the correct test.MIT
- List variable names and labels from SPSS .sav files, filter by optional search term, and inspect metadata without SPSS installed.MIT
- Catch SPSS syntax errors before executing your analysis. Validates syntax without running it, ensuring command correctness and avoiding failed runs.MIT
- List variable names and labels from an SPSS .sav file, with optional search filtering. No SPSS installation needed.MIT
- Validate SPSS syntax for basic errors without executing it. Prevent failed runs by confirming correctness before execution.MIT