An MCP that lets the model transiently execute R code.
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# MCP R Playground An MCP server that allows AI models to execute R code, see its results, and draw and observe plots. It can be used for sophisticated agentic deployments, but also as a way to augment AI clients like Claude Desktop when talking to them about scientific papers. ## Features: - Stateful sessions: each conversation thread gets a new session, but the session can persist across calss and user/assistant interactions. - Graphics output: multimodal models can draw plots using standard R libraries like ggplot, see those plots, and react to them. - *NO HOST ISOLATION*: while each session runs as a separate R environment, they have access to global dependencies and all files on the computer. While unlikely, a rogue model could write R code that deletes your important files. - Works in all common operating systems/architectures - Windows x64 / arm64, MacOS, Linux ## Configuration Currently there's just one configuration parameter that can be set as an environment variable: - `RPLAYGROUND_MCP_SUPPORT_IMAGE_OUTPUT`, default True. If set to False, image output will be disabled, and tool descriptions will be made to reflect that. ## Installation Basic instructions for technical users: 1) Have R installed, and the R_HOME environment variable set 2) Have a recent version of the `uv` installed 3) run `uvx --python=3.13 rplayground-mcp`, and it should just work. ## Detailed Installation This section is for less technical users who want to set up this MCP to use with Claude Desktop or similar AI user interfaces that support MCP extensions. ### Windows - Make sure you have R installed. The recommended source is here https://cran.rstudio.com/ . - Make sure you have `uv` installed. `uv` is the project management tool for Python, the programming language this tool is written in. More detailed instructions can be found here https://docs.astral.sh/uv/getting-started/installation/#pypi, we provide the instructions for the most straightforward method: 1) Open the …
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