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R-Server MCP Server

@gdbelvin

リポジトリ

基本情報

カテゴリ

その他

ライセンス

NOASSERTION

トランスポート

stdio

作者

gdbelvin

R-Server MCP Server について

概要はまだありません

R-Server MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

R-Server 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 R-Server MCP?

R-Server MCP is a specialized Model Context Protocol server that enables AI models to generate data visualizations using R's ggplot2 library and execute arbitrary R scripts. It exposes two tools (render_ggplot and execute_r_script) and is intended for developers integrating R capabilities into MCP-powered applications.

How to use R-Server MCP?

Configure the server in an MCP client's settings file, specifying either the local binary path or using the Docker startup script with the --docker flag. The server communicates via stdio transport and requires Go 1.22+, R 4.0+ with ggplot2, and optionally Docker for containerized execution.

Key features of R-Server MCP

  • ggplot2 Rendering: Generate visualizations from R code containing ggplot2 commands.
  • R Script Execution: Run any R script and return its text output.
  • Output Formats: Supports PNG, JPEG, PDF, and SVG.
  • Customization: Control image dimensions and resolution.
  • Error Handling: Clear messages for invalid R code or rendering failures.
  • Docker Integration: Isolated container execution for security and dependency management.

Use cases of R-Server MCP

  • Generate statistical charts (scatter plots, bar charts, etc.) from AI-generated R ggplot2 code.
  • Execute R scripts for data cleaning, analysis, or modeling and return textual results.
  • Embed R-based data visualization in MCP-powered chat or assistant workflows.
  • Run R code in a secure, containerized environment without exposing the host system.

よくある質問

1

What exactly does R-Server MCP do?

It provides two MCP tools: `render_ggplot` to create plots from ggplot2 code and return them as image files, and `execute_r_script` to run any R code and capture text output. Both are accessed through the stdio MCP transport.

2

What are the runtime requirements?

The server requires Go 1.22 or later and R 4.0 or later with the ggplot2 package installed. Docker is optional but recommended for isolated execution.

3

Can I run R-Server MCP without Docker?

Yes. You can run the pre-built binary directly on a system that has R installed. Docker is only needed if you want containerized execution. The README shows configuration for both local and Docker execution.

4

How does the server handle R code errors?

If R code fails (invalid syntax, missing packages, etc.), the server returns clear error messages indicating the nature of the failure, without crashing the MCP server.

5

What output formats are supported for `render_ggplot`?

The tool supports PNG, JPEG, PDF, and SVG. Users can also control image dimensions and resolution.

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