RMCP: Statistical Analysis through Natural Conversation

Turn conversations into comprehensive statistical analysis - A Model Context Protocol (MCP) server with 54 tools across 11 categories and 429 R packages from systematic CRAN task views. RMCP enables AI assistants to perform sophisticated statistical modeling, econometric analysis, machine learning, time series analysis, and data science tasks through natural conversation.

🚀 Quick Start (30 seconds)

🌐 Try the Live Server (No Installation Required)

MCP Endpoint: https://rmcp-server-394229601724.us-central1.run.app/mcp (bearer token required) Health Check: https://rmcp-server-394229601724.us-central1.run.app/health

🖥️ Or Install Locally

pip install rmcp
rmcp start

That's it! RMCP is now ready to handle statistical analysis requests via Claude Desktop, Claude web, or any MCP client.

🎯 Working examples → | 🔧 Troubleshooting →

✨ What Can RMCP Do?

📊 Regression & Economics

Linear regression, logistic models, panel data, instrumental variables → "Analyze ROI of marketing spend"

⏰ Time Series & Forecasting

ARIMA models, decomposition, stationarity testing → "Forecast next quarter's sales"

🧠 Machine Learning

Clustering, decision trees, random forests → "Segment customers by behavior"

📈 Statistical Testing

T-tests, ANOVA, chi-square, normality tests → "Is my A/B test significant?"

📋 Data Analysis

Descriptive stats, outlier detection, correlation analysis → "Summarize this dataset"

🔄 Data Transformation

Standardization, winsorization, lag/lead variables → "Prepare data for modeling"

📊 Professional Visualizations

Inline plots in Claude: scatter plots, histograms, heatmaps → "Show me a correlation matrix"

📁 Smart File Operations

CSV, Excel, JSON import with validation → "Load and analyze my sales data"

🤖 Natural Language Features

Formula building, error recovery, example datasets → "Help me build a regression formula"

👉 See working examples →

📊 Real Usage with Claude

Business Analysis

You: "I have sales data and marketing spend. Can you analyze the ROI?"

Claude: "I'll run a regression analysis to measure marketing effectiveness..."

Result: "Every $1 spent on marketing generates $4.70 in sales. The relationship is highly significant (p < 0.001) with R² = 0.979"

Economic Research

You: "Test if GDP growth and unemployment follow Okun's Law using my country data"

Claude: "I'll analyze the correlation between GDP growth and unemployment..."

Result: "Strong support for Okun's Law: correlation r = -0.944. Higher GDP growth significantly reduces unemployment."

Customer Analytics

You: "Predict customer churn using tenure and monthly charges"

Claude: "I'll build a logistic regression model for churn prediction..."

Result: "Model achieves 100% accuracy. Each additional month of tenure reduces churn risk by 11.3%. Higher charges increase churn risk by 3% per dollar."

📦 Installation