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deenesjakoruzh

vizro-mcp

Official
by mckinsey
GitHub
Python
Apache 2.0
3,205
  • Apple
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load_and_analyze_data

Analyze and extract insights from data files stored locally or remotely. Supports CSV, JSON, Excel, Parquet, and more. Input absolute file paths or URLs to retrieve DataFrame information and metadata.

Instructions

Use to understand local or remote data files. Must be called with absolute paths or URLs.

Supported formats: - CSV (.csv) - JSON (.json) - HTML (.html, .htm) - Excel (.xls, .xlsx) - OpenDocument Spreadsheet (.ods) - Parquet (.parquet) Args: path_or_url: Absolute (important!) local file path or URL to a data file Returns: DataAnalysisResults object containing DataFrame information and metadata

Input Schema

NameRequiredDescriptionDefault
path_or_urlYes

Input Schema (JSON Schema)

{ "properties": { "path_or_url": { "title": "Path Or Url", "type": "string" } }, "required": [ "path_or_url" ], "title": "load_and_analyze_dataArguments", "type": "object" }

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