# MCPR

> MCPR — phisanti-mcpr. Use this tool when you need to integrate AI agents with interactive R sessions for data analysis and professional workflows, solving problems such as automated data processing and visualization. It takes in R scripts and data as input and outputs analyzed results, enabling seamless collaboration between AI agents and R-based workflows. Ideal for use cases involving data-driven decision making, statistical modeling, and data visualization.

Canonical page: https://skillsregistry.net/skills/phisanti-mcpr  
JSON: https://api.skillsregistry.net/v1/skills/phisanti-mcpr

## Description

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

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** CC-BY-SA-4.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/phisanti/MCPR)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "phisanti-mcpr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/phisanti-mcpr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/phisanti-mcpr/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt