Mcptools
Enables R to function as both a server and client for the Model Context Protocol, allowing AI tools to interact with R sessions and R applications to access external contexts.
About
Mcptools provides a robust implementation of the Model Context Protocol in R, bridging the gap between R environments and AI-powered tools. It allows R to act as an MCP server, enabling AI applications like Claude Desktop or VS Code GitHub Copilot to execute R code within your active R sessions, leverage installed packages, and access session-specific data to answer questions or generate code. Conversely, mcptools also empowers R as an MCP client, allowing R-based chat applications such as shinychat or querychat to seamlessly integrate with and draw context from third-party MCP servers, enhancing their capabilities with external information.
Key Features
- Facilitates R applications in consuming context from external MCP servers
- 80 GitHub stars
- Integrates R sessions with AI development tools like Claude and GitHub Copilot
- Functions as an R-based Model Context Protocol server
- Enables AI models to execute R code and access session data
- Acts as an R-based Model Context Protocol client
Use Cases
- Integrating external Model Context Protocol servers into R-based chat applications to enrich AI responses with additional contextual data
- Allowing large language models (LLMs) to intelligently interact with and execute R code in a user's active R session
- Providing AI assistants with real-time context from the R environment, including installed packages and global variables, to generate accurate R code or answer R-related queries
