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305,071 tools. Last updated 2026-07-22 20:50

"Programs for Performing Statistical Analysis: R, STATA, SPSS" matching MCP tools:

  • 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
  • Profile any tabular dataset (CSV, Excel, SPSS, Stata) to obtain shape, data types, null percentages, unique counts, and distributions. Detects PII column names without modifying the file.
    AGPL 3.0
  • 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
  • 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
  • Retrieve AgentFuse dashboard summary stats including total clicks, signups, commissions, and top-performing programs for reporting revenue data.
    MIT

Matching MCP Servers

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    Provides 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 updated
    459
    MIT

Matching MCP Connectors

  • Execute SQL queries on Alibaba Cloud SLS logs to perform analysis, aggregation, and statistical calculations for monitoring and troubleshooting purposes.
    MIT
  • 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
  • Analyze each image channel (R, G, B, A) to compute mean, standard deviation, entropy, min, max, and unique value count for detecting steganographic content.
    MIT
  • Analyze log data by performing aggregations to calculate metrics, group by fields, and create statistical summaries for pattern analysis.
    MIT
  • 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
  • Execute Stata do-files and return the execution log. Use for running regressions, statistical analysis, or automating Stata commands.
    AGPL 3.0
  • Perform quick statistical analysis on database tables to get row counts, column distributions, and top values for data exploration.
    MIT
  • Perform statistical analysis on Excel data to calculate descriptive statistics, identify trends, and extract insights from numeric columns in spreadsheet files.
    MIT
  • Perform comprehensive statistical analysis on datasets, including descriptive statistics, hypothesis testing, and distribution fitting.
    MIT
  • Run statistical analysis on a dataset to uncover patterns and insights. Provide a dataset ID to receive summary statistics and distributions.
    MIT
  • Run R code and return output for data analysis or quick tests. Execute commands in a specified working directory.