ClaudeR RStudio MCP Server
Let Claude Code or Cursor drive R sessions inside RStudio for stats, plots, and reproducible analysis without leaving your IDE.
Overview
ClaudeR is an MCP server for the Build phase that connects RStudio to AI assistants for interactive R coding and data analysis.
What is this MCP server?
- Stdio MCP server (clauder-mcp on PyPI, v0.2.1) linking AI assistants to RStudio
- Interactive R coding and data-analysis commands from the agent
- stdio transport for Claude Desktop, Claude Code, and compatible MCP hosts
- GitHub-hosted ClaudeR project (IMNMV/ClaudeR)
- Focused on R + RStudio—not Python/Jupyter substitutes
- Server version 0.2.1
- PyPI package identifier clauder-mcp
What problem does it solve?
Switching between an AI chat and RStudio breaks flow and makes it painful to iterate on stats code and plots with an agent.
Who is it for?
Solo analysts and indie builders who use RStudio daily and want Claude Code or Cursor to execute and refine R workflows through MCP.
Skip if: Teams on Python-only stacks, cloud-only notebooks without RStudio, or builders who need a managed analytics platform instead of a local bridge.
What do I get? / Deliverables
Your assistant can work in context with RStudio via MCP so you iterate on analysis and scripts from the same agent session you use for the rest of the build.
- MCP-linked RStudio sessions for agent-assisted scripting
- Faster iteration on plots, models, and EDA in R
- Repeatable agent + R workflow documented in your MCP config
Recommended MCP Servers
Journey fit
RStudio bridge work happens while you are actively building analysis code and wiring the assistant into your stats workflow. This is an agent-to-IDE integration (stdio MCP to RStudio), not a standalone app feature—canonical shelf is build → integrations.
How it compares
RStudio MCP integration, not a standalone R tutoring skill or hosted BI product.
Common Questions / FAQ
Who is ClaudeR for?
R users and indie data builders who use RStudio and want AI assistants to help with interactive coding and analysis over MCP.
When should I use ClaudeR?
Use it while building or extending R analysis projects when you already run RStudio locally and want agent-driven iteration on scripts and EDA.
How do I add ClaudeR to my agent?
Install clauder-mcp from PyPI (v0.2.1), configure the MCP server with stdio transport in Claude Code, Cursor, or another MCP host, and keep RStudio available on the same machine.