Data Wrangler (Polars)
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Data Wrangler (Polars) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.