Data Wrangler (Polars)
Provides data preprocessing, transformation, and analysis capabilities using Polars dataframes for statistical operations on multi
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.
Source
Repository: https://github.com/shibuiwilliam/mcp-server-data-wrangler
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