RMCP: R Model Context Protocol Server

Python application PyPI version Downloads License: MIT Python 3.9+

Version 0.3.7 - A comprehensive Model Context Protocol (MCP) server with 40 statistical analysis tools across 9 categories. RMCP enables AI assistants and applications to perform sophisticated statistical modeling, econometric analysis, machine learning, time series analysis, and data science tasks seamlessly through natural conversation.

πŸŽ‰ Now with 40 statistical tools across 9 categories including natural language formula building and intelligent error recovery!

Quick Start

Installation:

pip install rmcp

Check R packages and start the server:

# Check R packages are installed
rmcp check-r-packages

# Start the MCP server
rmcp start

That’s it! RMCP is now ready to handle statistical analysis requests via the Model Context Protocol.

Features

πŸ“Š Comprehensive Statistical Analysis (40 Tools)

  • Regression & Correlation: Linear regression, logistic regression, correlation analysis

  • Time Series Analysis: ARIMA modeling, decomposition, stationarity testing

  • Data Transformation: Lag/lead variables, winsorization, differencing, standardization

  • Statistical Testing: t-tests, ANOVA, chi-square tests, normality tests

  • Machine Learning: K-means clustering, decision trees, random forest

  • Data Visualization: Scatter plots, histograms, time series plots, correlation heatmaps

  • File Operations: CSV, Excel, JSON import/export, data filtering

  • Natural Language & User Experience: Formula builder, intelligent error recovery

πŸ“ˆ Visual Analytics Revolution

  • Inline Image Display: All visualization tools display plots directly in Claude conversations

  • Base64 Encoding: Professional-quality PNG images appear instantly

  • Multi-content MCP Responses: Support for text + image content

  • Publication Quality: ggplot2-styled visualizations ready for presentations

Documentation

User Guide

API Reference

Indices and tables