# Connect RStudio to MCP Agents with ClaudeR

> Use ClaudeR to expose an active RStudio session to MCP-capable coding and research agents for R execution, plots, manuscript audits, and multi-agent analysis.

- Skill: `agentskillexchange/connect-rstudio-to-mcp-agents-with-clauder` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/connect-rstudio-to-mcp-agents-with-clauder`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/connect-rstudio-to-mcp-agents-with-clauder/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/connect-rstudio-to-mcp-agents-with-clauder

---


# Connect RStudio to MCP Agents with ClaudeR

Use ClaudeR to expose an active RStudio session to MCP-capable coding and research agents for R execution, plots, manuscript audits, and multi-agent analysis.

## Prerequisites

R 4.0 or later, RStudio, Python 3.8 or later, R devtools package, ClaudeR R package, clauder-mcp bridge, MCP-capable agent such as Claude Code, Codex, Gemini CLI, Cursor, or Claude Desktop

## Installation

Install or set up from the source-backed instructions:

Install R and Python prerequisites, install `devtools` in R, run `devtools::install_github("IMNMV/ClaudeR")`, load `library(ClaudeR)`, configure the target agent with `install_clauder()` or `install_cli(tools = "claude")`, then start the RStudio server/addin with `claudeAddin()`.

- Source: https://github.com/IMNMV/ClaudeR

## Documentation

- https://github.com/IMNMV/ClaudeR/blob/main/llms-install.md

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/connect-rstudio-to-mcp-agents-with-clauder/)

