# Data Wrangler (Polars)

> Use this tool when you need to preprocess, transform, and analyze data in various formats, such as CSV, TSV, and Parquet, and require a standardized interface for statistical analysis tasks. It solves problems related to data shape analysis, quantile calculations, and variance measurements, providing outputs in structured JSON responses. Ideal for AI agents that require data analysis capabilities without direct access to data processing libraries.

Canonical page: https://skillsregistry.net/skills/shibuiwilliam-data-wrangler-polars  
JSON: https://api.skillsregistry.net/v1/skills/shibuiwilliam-data-wrangler-polars

## Description

MCP Server Data Wrangler provides a standardized interface for data preprocessing, transformation, and analysis tasks through the Model Context Protocol. Developed by shibuiwilliam, this server implementation leverages Polars dataframes to offer a suite of statistical analysis tools including descriptive statistics, data shape analysis, quantile calculations, and variance measurements. The server supports multiple file formats (CSV, TSV, Parquet) and exposes its functionality through well-defined tools that return structured JSON responses, making it ideal for AI assistants that need to perform data analysis operations without direct access to data processing libraries.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/shibuiwilliam-data-wrangler-polars)
- **Repository:** <https://github.com/shibuiwilliam/mcp-server-data-wrangler>

## 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": "shibuiwilliam-data-wrangler-polars"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shibuiwilliam-data-wrangler-polars` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shibuiwilliam-data-wrangler-polars/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