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Connect to a live RStudio session to inspect data and run R code.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "rstudio-mcp" yet — see the docs or source repo.
Connect to my RStudio session, list objects in the current environment, and preview the first 10 rows and column types of data_frame.
A list of environment objects plus a preview of data_frame rows and column type summaries.
Run this R code in the current RStudio environment: remove missing values from sales, summarize revenue by region, and show a preview of the result.
A preview of the summarized result, along with execution feedback or error messages if needed.
Inspect the model object in the current RStudio session, report its type and key parameters, and provide a summary.
The model object's structure, main parameters, and summary for quick verification.
Run R code via RStudio and support package development, testing, and jamovi builds.
Run reproducible econometrics and statistical workflows through headless R execution.
Connect to Jupyter via MCP to run code and explore data interactively.
Connect RStudio to LLM agents for orchestration and automated manuscript auditing.
Connect RD Station to manage contacts, deals, events, and lead scoring.
Connect Redmine via MCP to browse projects, issues, and tickets easily.