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phisanti/MCPR

by Various

MCPR enables AI agents to participate in interactive R sessions for professional analysis workflows.

P

MCP

phisanti/MCPR

Added 1 June 2026

#data-analysis #mcp #mcp-server #r

Overview

MCPR is a tool that allows AI agents to engage in interactive R sessions, enabling automated or assisted execution of R code for data analysis. It is built using HTML and has 25 stars on GitHub, indicating a small community.

Best for

Best for
Developers prototyping AI-driven R analysis assistants

Use cases

  • Automating repetitive R analysis workflows
  • Enabling AI agents to perform interactive data exploration in R
  • Integrating AI assistance into professional R-based analytics pipelines

How to use

Install

remotes::install_github("phisanti/MCPR")

Tools exposed

  • mcpr_server
  • install_mcpr
  • mcpr_session_start
  • manage_r_sessions
  • execute_r_code
  • show_plot
  • view

Tested with

Claude Desktop, Claude, Gemini, Copilot, Codex, VS Code

Example client config

{\n  "mcpServers": {\n    "mcpr": {\n      "command": "R",\n      "args": ["--quiet", "--slave", "-e", "MCPR::mcpr_server()"]\n    }\n  }\n}

Notes

MCPR is a tool that allows AI agents to engage in interactive R sessions, enabling automated or assisted execution of R code for data analysis. It is built using HTML and has 25 stars on GitHub, indicating a small community.

25 stars on GitHub. Last updated 2026-03-30. Licensed CC-BY-SA-4.0.

Use cases

  • Automating repetitive R analysis workflows
  • Enabling AI agents to perform interactive data exploration in R
  • Integrating AI assistance into professional R-based analytics pipelines

Pros

  • Enables AI agents to directly interact with R, a core statistical tool
  • Facilitates interactive, real-time analysis loops
  • Open source with potential for customization

Cons

  • Very low adoption (25 stars) suggesting limited testing and community
  • Built in HTML may limit performance or integration options
  • Lacks extensive documentation or examples

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Enables AI agents to directly interact with R, a core statistical tool
  • Facilitates interactive, real-time analysis loops
  • Open source with potential for customization

Cons

  • Very low adoption (25 stars) suggesting limited testing and community
  • Built in HTML may limit performance or integration options
  • Lacks extensive documentation or examples
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