saidsurucu/rlang-mcp-python
3.4
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A comprehensive Model Context Protocol (MCP) server for R data visualization and analysis, built with Python and FastMCP.
Tools
Functions exposed to the LLM to take actions
mount_directory
Mount a local directory for R operations
upload_file
Upload files to R workspace
list_files
List and filter workspace files
file_info
Get detailed file information
render_ggplot
Generate ggplot2 visualizations
execute_r_script
Execute R scripts with smart file handling
install_r_package
Install R packages on-demand
list_r_packages
List and search installed packages
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client