# R-Server MCP A specialized Model Context Protocol (MCP) server that enables AI models to generate data visualizations using R's ggplot2 library and
Most cloud and infrastructure work still happens through a UI a human drives. R MCP server moves it into the conversation instead. # R-Server MCP A specialized Model Context Protocol (MCP) server that enables AI models to generate data visualizations using R's ggplot2 library and execute R scripts. ## Overview This MCP server provides a streamlined interface for.
This MCP server provides a streamlined interface for creating statistical visualizations and executing R scripts without requiring direct access to an R environment. It exposes two MCP tools: - render_ggplot: Generates visualizations from R code containing ggplot2 commands - execute_r_script: Executes any R script and returns the text output
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Plenty of cloud and infrastructure servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by gdbelvin; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
{
"mcpServers": {
"r-server": {
"command": "/path/to/r-server",
"disabled": false,
"autoApprove": []
}
}
}Configuration as documented by the project. Restart the client after saving.
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