Excel Reader MCP

Example Use Cases

• 1

  Read and process large Excel files without loading entire sheets into memory by using automatic chunking and pagination.

• 2

  Extract specific sheets, rows, or columns (including proper date handling) for downstream analysis or transformation.

• 3

  Integrate spreadsheet data into MCP workflows (e.g., Claude) with clear metadata about chunks and next-page navigation.

Description

This MCP server reads Excel (.xlsx, .xls) files using SheetJS and TypeScript, automatically chunking large datasets and providing pagination metadata for incremental reads. It supports sheet selection, row pagination, proper date handling, and error validation to handle malformed or large files gracefully. The server is optimized for large files and returns structured responses describing sheets, row/column ranges, and next-chunk information. It is intended for integration with MCP-compatible agents (e.g., Claude) to enable safe, efficient spreadsheet access from LLM workflows.