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Excel Reader Server

Excel Reader Server

Local
modelcontextprotocol.ioData & Analytics6Updated 75w ago

About Excel Reader Server

An MCP server for reading Excel .xlsx files. It provides tools to retrieve every sheet or a selected sheet, returning rows as JSON for applications that use MCP tools.

Key features

  1. 01Read all workbook sheets
  2. 02Read a sheet by name
  3. 03Read a sheet by index
  4. 04Return rows as JSON
  5. 05Convert empty cells and values

Use cases

  1. 01Extracting workbook data for analysis
  2. 02Reading a named sheet from a file
  3. 03Retrieving a sheet by its position

MCP support

Exposes three tools to MCP clients for reading all sheets or selecting a sheet by name or index. Results are returned as JSON.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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Excel Reader Server

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

Excel Reader Server MCP server

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.

Comments

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