finite-sample/rmcp 是从 https://github.com/finite-sample/rmcp. 导入的 MCP 服务器候选
概览
finite-sample/rmcp 是从 https://github.com/finite-sample/rmcp. 导入的 MCP 服务器候选
概述（AI 翻译）
将对话转化为全面的统计分析——一台模型上下文协议（MCP）服务器，拥有54个工具，涵盖11个类别，429个R包，来自系统性的CRAN任务视图。RMCP使AI助手能够通过自然对话执行复杂的统计建模、计量经济分析、机器学习、时间序列分析和数据科学任务。
🚀 快速启动（30秒）
🌐 试试在线服务器（无需安装）
MCP 端点：https://rmcp-server-394229601724.us-central1.run.app/mcp（需要持有令牌）
健康检查：https://rmcp-server-394229601724.us-central1.run.app/health
🖥️ 或者本地安装
就是这样！RMCP现在已经准备好通过Claude Desktop、Claude网页版或任何MCP客户端处理统计分析请求。
** 🎯 工作示例 →** |** 🔧 故障排除→**
✨ RMCP能做些什么？
📊 回归与经济学
线性回归、逻辑模型、面板数据、工具变量→ “分析营销支出的投资回报率”
⏰ 时间序列与预测
ARIMA模型、分解、平稳性测试→ “预测下季度销售”
🧠 机器学习
本页由 AI 翻译，技术细节请以原文为准。
README
以下为原文 README 节选，完整内容请查看原文。
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”
📊 Real Usage with Claude
Business Analysis
安装
docker run -e RMCP_HTTP_HOST=0.0.0.0 -e RMCP_HTTP_PORT=8000 rmcp:latest配置
{
"mcpServers": {
"rmcp": {
"command": "rmcp",
"args": ["start"]
}
}
}