Labsco
MCP SERVER

Quick Data for Windows MCP

by Beaulewis1977 ↗

Load a CSV or JSON file on Windows and get schema discovery, segmentation and charts over it.

Spreadsheet & Tabular File Analysis
Summary
The quick-data analytics set, with the Windows problems sorted out.

This is disler/quick-data-mcp with Windows file paths, Claude Desktop launchers and dependency installation fixed, by an author who says openly that it is his first project of this kind. If you are on Windows and the original would not start, that is exactly the gap it closes.

What it is

A Windows-focused fork of quick-data-mcp for Claude Desktop: analytics over any JSON or CSV file, with Windows path handling and batch launchers.

What you get
  • A dataset loaded from any CSV or JSON file, whatever its structure (load_dataset)
  • Automatic schema discovery, with analyses suggested from what it finds
  • The datasets currently in memory, and details for one of them (list_loaded_datasets, get_dataset_info)
  • A loaded dataset broken down by a column (segment_by)
  • Memory released when you are finished with a dataset (clear_dataset)
  • Interactive Plotly charts, and an analytics set that runs from basic statistics upward
Requirements

Windows 10 or newer, Python 3.9 or newer and Claude Desktop. Cloned from the repository, then install_dependencies.bat.