R-Server MCP
by gdbelvin
The R-Server MCP is a specialized server that enables AI models to generate data visualizations using R's ggplot2 library and execute R scripts. It provides a streamlined interface for creating statistical visualizations and executing R scripts without requiring direct access to an R environment.
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What is R-Server MCP?
The R-Server MCP is a Model Context Protocol (MCP) server designed to facilitate the generation of data visualizations using R's ggplot2 library and the execution of R scripts. It exposes two MCP tools: render_ggplot for creating visualizations and execute_r_script for running arbitrary R code.
How to use R-Server MCP?
To use the server, configure it in your MCP settings file with the appropriate command to start the server, either locally or within a Docker container. The MCP client will then communicate with the server using stdio transport to execute R code and retrieve visualizations or script outputs.
Key features of R-Server MCP
ggplot2 Rendering
R Script Execution
Format Options (PNG, JPEG, PDF, SVG)
Customization (image dimensions and resolution)
Error Handling
MCP Protocol Compliance
Docker Integration
Use cases of R-Server MCP
Generating statistical visualizations from AI model outputs
Executing R scripts for data analysis and manipulation
Creating custom visualizations for reports and presentations
Integrating R functionality into AI-powered applications
FAQ from R-Server MCP
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a protocol for communication between AI models and external tools.
What R versions are supported?
What R versions are supported?
R 4.0 or later with the ggplot2 package is required.
Is Docker required?
Is Docker required?
Docker is recommended for containerized execution and provides a more isolated and secure environment.
What output formats are supported?
What output formats are supported?
The server supports PNG, JPEG, PDF, and SVG output formats for visualizations.
How do I handle errors?
How do I handle errors?
The server provides clear error messages for invalid R code or rendering failures, which can be used for debugging.