Pandas MCP Server

Example Use Cases

• 1

  Inspect and summarize file-level metadata (types, encodings, column types, samples, and basic statistics) before generating analysis code.

• 2

  Safely execute pandas data transformations and aggregations in a sandboxed environment with blacklist filtering and memory optimizations.

• 3

  Produce interactive, shareable Chart.js visualizations (bar, line, pie) as standalone HTML files from processed tabular data.

Description

A Model Context Protocol (MCP) server that provides LLMs with safe, sandboxed pandas execution, automated file metadata extraction, column value interpretation, and interactive chart generation. It focuses on memory-optimized processing for large files, security filtering for code execution, and convenient integration (CLI and Claude Desktop configuration). The server outputs structured results and standalone HTML charts, enabling agents to analyze, transform, and visualize datasets without direct filesystem or network access from the model.