clauder-mcp

mcp-name: io.github.IMNMV/clauder

MCP server that connects AI assistants to RStudio for interactive R coding and data analysis.

This is the Python MCP bridge component of ClaudeR. It works with Claude Desktop, Claude Code, Codex CLI, Gemini CLI, Cursor, and any other MCP-compatible client.

Prerequisites

You need the ClaudeR R package installed and running in RStudio:

if (!require("devtools")) install.packages("devtools")
devtools::install_github("IMNMV/ClaudeR")
library(ClaudeR)
claudeAddin()

Start the server from the RStudio Viewer pane before connecting your AI tool.

Usage

Claude Code

claude mcp add --transport stdio --scope user r-studio -- uvx clauder-mcp

Codex CLI

codex mcp add r-studio -- uvx clauder-mcp

Gemini CLI

Add to your ~/.gemini/settings.json:

{
  "mcpServers": {
    "r-studio": {
      "command": "uvx",
      "args": ["clauder-mcp"]
    }
  }
}

Claude Desktop / Cursor

Add to your MCP config file:

{
  "mcpServers": {
    "r-studio": {
      "command": "uvx",
      "args": ["clauder-mcp"]
    }
  }
}

Tools

execute_r - Execute R code and return output
execute_r_with_plot - Execute R code that generates a plot
execute_r_async - Run long-running code in a background process
get_async_result - Poll for async job results
read_file - Read any text file from disk
get_active_document - Get the active document in RStudio
modify_code_section - Edit code in the active document
get_r_info - Get R environment information
list_sessions - List available RStudio sessions
connect_session - Connect to a specific session
get_session_history - View execution history by agent
create_task_list - Create a task list for analysis
update_task_status - Update task progress

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