Excel Reader Server

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

<a href="https://glama.ai/mcp/servers/kniyyx0gej"> <img width="380" height="200" src="https://glama.ai/mcp/servers/kniyyx0gej/badge" alt="Excel Reader Server MCP server" /> </a>

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.