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mcptools
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mcptools

Active·★ 203·NOASSERTION·Updated 2026-10-20

mcptools enables R to act as both a server and a client for the Model Context Protocol (MCP). As a server, it allows AI coding assistants to execute R code within your running sessions, providing context from your R environment. As a client, it allows R applications to integrate with third-party MCP servers, accessing external tools and information.

mcptools sits in the API Integration category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward R as an MCP server: Enables AI assistants (e.g., Claude, Copilot) to run R code and access R session context.. A representative use case is Enhancing AI coding assistants: Claude Desktop, Claude Code, and VS Code GitHub Copilot using active R sessions to answer questions by running R code.. The listed license is NOASSERTION. GitHub stars are currently 202. Relevant tags include R programming, Model Context Protocol.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#R programming#Model Context Protocol#AI integration#LLM tooling#Tool use#Code execution#API integration
$ Install
$ install.packages("mcptools")
↗ Visit site★ GitHub
01

Features

01R as an MCP server: Enables AI assistants (e.g., Claude, Copilot) to run R code and access R session context.
02R as an MCP client: Allows R applications to integrate with and utilize third-party MCP servers for external context and tools.
03Extensible toolset: Supports configuring arbitrary R functions for AI assistants and providing default tools for R documentation and environment inspection.
04Session management: Allows AI models to access variables and objects within specific interactive R sessions.
02

Why choose it

+R as an MCP server: Enables AI assistants (e.g., Claude, Copilot) to run R code and access R session context.
+R as an MCP client: Allows R applications to integrate with and utilize third-party MCP servers for external context and tools.
+Enhancing AI coding assistants: Claude Desktop, Claude Code, and VS Code GitHub Copilot using active R sessions to answer questions by running R code.
+Supports 7 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

R
Runtime
Verified via docs
Model Context Protocol (MCP)
Protocol
Verified via docs
Claude Desktop
AI Assistant
Verified via docs
Claude Code
AI Assistant
Verified via docs
GitHub Copilot (VS Code)
AI Assistant
Verified via docs
ellmer
R Library
Verified via docs
05

Quick start

1
$ install.packages("mcptools")
06

Use cases

↳Enhancing AI coding assistants: Claude Desktop, Claude Code, and VS Code GitHub Copilot using active R sessions to answer questions by running R code.
↳Integrating external context into R chat applications: `ellmer`, `shinychat`, and `querychat` apps leveraging third-party MCP servers (e.g., GitHub) for additional information.
↳Deploying R as an HTTP MCP server: Making R functions available as MCP endpoints on platforms like Posit Connect for broader access.
07

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
posit-dev /
mcptools
↗

Model Context Protocol For R

203
Last commit1w ago
StatusActive
CategoryAPI Integration
Links
Documentation↗Discussion↗Issues↗Releases↗
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