Excel Integration
Enables large language models to read and write local Excel files using the MCP protocol.
About
This project, built on the Spring AI MCP framework, empowers large language models (LLMs) with the ability to interact with local Excel files. By leveraging the MCP protocol, the server allows AI agents to dynamically read and write data to Excel spreadsheets, effectively providing them with access to external data and the ability to perform real-world operations beyond their static knowledge base.
Key Features
- 3 GitHub stars
- Returns Excel content in JSON format.
- Reads local Excel files (both .xlsx and .xls formats).
- Writes JSON data to specified local Excel files.
- Integrates with LLM clients supporting the MCP protocol (e.g., Claude, Cursor, Cherry Studio).
Use Cases
- Creating AI-powered workflows that involve reading, processing, and writing data to Excel.
- Enabling LLMs to access and process data stored in Excel files.
- Automating data entry and manipulation in Excel spreadsheets through AI agents.
Sponsored