mcp-excel-server

mcp-excel-server

3.3
file_systems

If you are the rightful owner of mcp-excel-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

mcp-excel-server is a project developed using the Spring AI MCP framework, enabling large language models (LLM) to read and write local Excel files through the MCP protocol.

mcp-excel-server is designed to enhance the capabilities of large language models by allowing them to interact with local Excel files. This project leverages the Model Context Protocol (MCP) to facilitate dynamic interactions, enabling AI to perform tasks similar to human operations on Excel files. By integrating with LLM clients that support MCP, such as Claude, Cursor, and Cherry Studio, the server can read from and write to Excel files in .xlsx and .xls formats. This functionality is crucial for applications that require real-time data manipulation and retrieval from Excel spreadsheets, thus overcoming the limitations of static knowledge bases.

Features

  • Excel File Reading: Reads local Excel files (.xlsx and .xls) and returns content in JSON format.
  • Excel File Writing: Writes JSON data into specified local Excel files.
  • LLM Integration: Integrates with MCP protocol-supported LLM clients like Claude, Cursor, and Cherry Studio.

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