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Rmcp MCP Server

@gojiplus

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基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

gojiplus

Rmcp MCP Server について

R MCP Server

Rmcp MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "rmcp": {
      "command": "docker",
      "args": [
        "run",
        "-e",
        "RMCP_HTTP_HOST=0.0.0.0",
        "-e",
        "RMCP_HTTP_PORT=8000",
        "rmcp:latest"
      ]
    }
  }
}

Rmcp MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Rmcp?

Rmcp is a Model Context Protocol (MCP) server that enables AI assistants to perform sophisticated statistical analysis through natural conversation. It provides 52 statistical analysis tools across 11 categories and integrates 429 R packages from systematic CRAN task views.

How to use Rmcp?

Install Rmcp via pip install rmcp, then run rmcp start to start the MCP server. Rmcp can be used with Claude Desktop, Claude web, or any MCP client. For web applications, use rmcp serve-http --host 0.0.0.0 --port 8080 for a local HTTP server, or connect to the hosted server at https://rmcp-server-394229601724.us-central1.run.app/mcp. Configuration is supported via environment variables, a config file (~/.rmcp/config.json), or command-line options.

Key features of Rmcp

  • Natural conversation interface for statistical analysis
  • 429 R packages with a 4‑tier security system
  • Professional output with markdown tables and inline visualizations
  • Full MCP protocol compliance with stdio and HTTP transports
  • Flexible configuration via env vars, config files, and CLI options
  • 100% test success rate across real-world scenarios

Use cases of Rmcp

  • Business analysis: measure marketing ROI with regression
  • Economic research: test macroeconomic relationships like Okun’s Law
  • Customer analytics: predict churn with logistic regression
  • Time series forecasting: forecast sales with ARIMA models
  • Statistical testing: evaluate A/B tests with t-tests and ANOVA

よくある質問

1

What dependencies does Rmcp require?

Rmcp requires Python 3.10+ and R 4.4.0+ with a comprehensive package ecosystem. Core R packages include jsonlite, dplyr, ggplot2, broom, plm, forecast, randomForest, rpart, caret, AER, vars, and mgcv.

2

How do I troubleshoot “R not found” or missing R packages?

Run `R --version` to verify R is installed. For missing R packages, use `rmcp check-r-packages` to check what’s missing. On macOS install R with `brew install r`; on Ubuntu use `sudo apt install r-base`.

3

How can I test the MCP connection?

Run `echo '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | rmcp start` to verify the server responds. For the HTTP server, use `curl` against the health endpoint or the MCP initialization endpoint.

4

What transports does Rmcp support?

Rmcp supports stdio (for Claude Desktop) and HTTP (for web applications). The HTTP server can be run locally or connected to the hosted production server.

5

Is authentication required?

The README does not specify authentication requirements. The hosted server endpoints are publicly accessible for testing; local servers may be secured with your own infrastructure.

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