Overview
what is R-Server MCP?
R-Server MCP is a specialized Model Context Protocol (MCP) server that enables AI models to generate data visualizations using R's ggplot2 library and execute R scripts.
how to use R-Server MCP?
To use R-Server MCP, configure it in your MCP settings file and run the server either locally or in a Docker container. You can execute R scripts and generate visualizations by sending commands to the server.
key features of R-Server MCP?
- ggplot2 Rendering: Generates visualizations from R code containing ggplot2 commands.
- R Script Execution: Executes any R script and returns the text output.
- Format Options: Supports PNG, JPEG, PDF, and SVG output formats.
- Customization: Allows control over image dimensions and resolution.
- Error Handling: Provides clear error messages for invalid R code or rendering failures.
- MCP Protocol Compliance: Fully implements the Model Context Protocol.
- Docker Integration: Ensures secure execution of R code in isolated containers.
use cases of R-Server MCP?
- Generating statistical visualizations for data analysis.
- Executing R scripts for data processing and reporting.
- Integrating with AI models for automated data visualization tasks.
FAQ from R-Server MCP?
- Can R-Server MCP execute any R script?
Yes! R-Server MCP can execute any valid R script and return the output.
- What formats can R-Server MCP output visualizations in?
R-Server MCP supports PNG, JPEG, PDF, and SVG formats for visualizations.
- Is Docker required to run R-Server MCP?
While Docker is recommended for secure execution, it is not strictly required; you can run it locally as well.