Skill Detail

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.

Developer ToolsMCP
Developer Tools MCP Security Reviewed
⭐ 305 GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill connect-rstudio-to-mcp-agents-with-clauder Copy
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
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
Install & setup
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()`.
Author
IMNMV
Publisher
Open Source Project
Last updated
Jul 30, 2026
Quick brief

Use ClaudeR to install the R package and MCP bridge, start the RStudio addin, connect Claude Code, Codex, Gemini CLI, Cursor, or another MCP-capable agent, and let the agent execute R code, inspect outputs and plots, coordinate analysis tasks, annotate data, or audit manuscript claims from the live RStudio environment. The operator keeps the work tied to the active project, data files, R console state, and rendered figures instead of asking the model to infer results from static snippets.

How it works

What this skill actually does

What the agent/operator does

When to invoke

Invoke this skill when normal chat or file-only review is not enough because the agent needs the actual R session, generated plots, statistical outputs, manuscript references, or a shared multi-agent RStudio workspace to complete the analysis safely.

Scope boundary

This is not a generic R package listing or an MCP server directory entry. Keep the workflow bounded to connecting a specific RStudio session through ClaudeR, running or auditing R/research tasks inside that environment, and returning evidence from executed code, plots, annotations, or manuscript checks.