Enables seamless reading, writing, and analyzing of Excel files through Model Context Protocol, with features for worksheet management, structure analysis, and automated caching.
Provides efficient handling of large Excel files through automatic chunking and pagination, using MCP to enable seamless file reading and management features such as sheet selection and error handling.
A thin wrapper around the OpenPyXl Python library that exposes Excel file operations as a Model Context Protocol (MCP) server, allowing Claude and other MCP clients to fetch and analyze data from Excel files.
An MCP server that provides comprehensive Excel file operations, data analysis, and visualization capabilities for working with various spreadsheet formats like XLSX, CSV, and JSON.