The mcpr package provides a comprehensive R implementation of the Model Context Protocol (MCP), a standardized JSON-RPC 2.0 interface that enables R applications to expose computational capabilities to AI models. This package bridges the gap between R's statistical computing environment and modern AI assistants by allowing R developers to create MCP servers that expose tools, resources, and prompts as well as client functionality to interact with existing MCP servers.
Key features include schema-based tool definitions, multi-modal response support, and seamless integration with popular AI development environments including Claude Code, Cursor, and VS Code. This implementation democratizes AI-R integration by providing a standards-based approach to exposing R's extensive ecosystem to conversational AI interfaces, opening new possibilities for interactive data analysis and statistical computing workflows.
John Coene
Opifex
Build Model Context Protocol servers and clients in R
The mcpr package provides a comprehensive R implementation of the Model Context Protocol (MCP), a standardized JSON-RPC 2.0 interface that enables R applications to expose computational capabilities to AI models. This package bridges the gap between R's statistical computing environment and modern AI assistants by allowing R developers to create MCP servers that expose tools, resources, and prompts as well as client functionality to interact with existing MCP servers.  Key features include schema-based tool definitions, multi-modal response support, and seamless integration with popular AI development environments including Claude Code, Cursor, and VS Code. This implementation democratizes AI-R integration by providing a standards-based approach to exposing R's extensive ecosystem to conversational AI interfaces, opening new possibilities for interactive data analysis and statistical computing workflows.