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

Related MCP server: Excel MCP Server

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.