# mcptools

> mcptools — tncas-mcptools. Use this tool when you need to perform median-based data imputation, detect outliers, or analyze correlations in your data. The mcptools provides a Model Context Protocol (MCP) server for R, accepting data inputs and producing imputed datasets, outlier identifiers, and correlation coefficients as outputs. Ideal for data preprocessing and exploratory analysis, use mcptools to resolve missing value and data quality issues in statistical modeling contexts.

Canonical page: https://skillsregistry.net/skills/tncas-mcptools  
JSON: https://api.skillsregistry.net/v1/skills/tncas-mcptools

## Description

Model Context Protocol (MCP) server for R. Provides tools for median-based data imputation, outlier detection via the 1.5x IQR rule, and Pearson correlation analysis

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/tnCas/mcptools)

## 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": "tncas-mcptools"
    }
  }
}
```

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

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