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qualityA Model Context Protocol server that enables AI assistants to read from and write to Microsoft Excel files, supporting formats like xlsx, xlsm, xltx, and xltm.
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Why this server?
Enables AI assistants to read from and write to Microsoft Excel files, supporting various formats like xlsx, xlsm, xltx, and xltm.
Why this server?
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.
Why this server?
Enables seamless reading, writing, and analyzing of Excel files through Model Context Protocol, with features for worksheet management, structure analysis, and automated caching.
Why this server?
While not directly related to excel, this server enables LLMs to perform precise numerical calculations by evaluating mathematical expressions which might be relevant to users working with excel.
Why this server?
While not directly related to excel, this server provides basic arithmetic operations and advanced mathematical functions through the Model Context Protocol (MCP).
Why this server?
While not directly related to excel, this server includes managing text notes with creation and summarization capabilities.
Why this server?
While not directly related to excel, this server enables reading files from the local file system, which is a pre-requisite to working with excel files.