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Excel Reader Server

A Model Context Protocol (MCP) server that provides tools for reading Excel (xlsx) files.

Features

  • Read content from all sheets in an Excel file

  • Read content from a specific sheet by name

  • Read content from a specific sheet by index

  • Returns data in JSON format

  • Handles empty cells and data type conversions

Installation

Requires Python 3.10 or higher.

# Using pip pip install excel-reader-server # Using uv (recommended) uv pip install excel-reader-server

Dependencies

  • mcp >= 1.2.1

  • openpyxl >= 3.1.5

Usage

The server provides three main tools:

1. read_excel

Reads content from all sheets in an Excel file.

{ "file_path": "path/to/your/excel/file.xlsx" }

2. read_excel_by_sheet_name

Reads content from a specific sheet by name. If no sheet name is provided, reads the first sheet.

{ "file_path": "path/to/your/excel/file.xlsx", "sheet_name": "Sheet1" # optional }

3. read_excel_by_sheet_index

Reads content from a specific sheet by index. If no index is provided, reads the first sheet (index 0).

{ "file_path": "path/to/your/excel/file.xlsx", "sheet_index": 0 # optional }

Response Format

The server returns data in the following JSON format:

{ "Sheet1": [ ["Header1", "Header2", "Header3"], ["Value1", "Value2", "Value3"], ["Value4", "Value5", "Value6"] ] }
  • Each sheet is represented as a key in the top-level object

  • Sheet data is an array of arrays, where each inner array represents a row

  • All values are converted to strings

  • Empty cells are represented as empty strings

Error Handling

The server provides clear error messages for common issues:

  • File not found

  • Invalid sheet name

  • Index out of range

  • General Excel file reading errors

License

This project is released under the Apache 2 License. See the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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