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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
R-Server MCP is a specialized Model Context Protocol server that enables AI models to generate data visualizations using R's ggplot2 library and execute arbitrary R scripts. It exposes two tools (render_ggplot and execute_r_script) and is intended for developers integrating R capabilities into MCP-powered applications.
Configure the server in an MCP client's settings file, specifying either the local binary path or using the Docker startup script with the --docker flag. The server communicates via stdio transport and requires Go 1.22+, R 4.0+ with ggplot2, and optionally Docker for containerized execution.
It provides two MCP tools: `render_ggplot` to create plots from ggplot2 code and return them as image files, and `execute_r_script` to run any R code and capture text output. Both are accessed through the stdio MCP transport.
The server requires Go 1.22 or later and R 4.0 or later with the ggplot2 package installed. Docker is optional but recommended for isolated execution.
Yes. You can run the pre-built binary directly on a system that has R installed. Docker is only needed if you want containerized execution. The README shows configuration for both local and Docker execution.
If R code fails (invalid syntax, missing packages, etc.), the server returns clear error messages indicating the nature of the failure, without crashing the MCP server.
The tool supports PNG, JPEG, PDF, and SVG. Users can also control image dimensions and resolution.
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