Excel Reader Server

What is Excel Reader Server?

A Model Context Protocol (MCP) server that provides tools for reading Excel (.xlsx) files. It is designed for developers and AI assistants that need to extract data from Excel workbooks programmatically.

How to use Excel Reader Server?

Install the package via pip install excel-reader-server or uv pip install excel-reader-server (requires Python 3.10+). Then configure your MCP client to use the three provided tools: read_excel, read_excel_by_sheet_name, and read_excel_by_sheet_index.

Key features of Excel Reader Server

• Read content from all sheets in an Excel file
• Read a specific sheet by name
• Read a specific sheet by index
• Returns data in JSON format
• Handles empty cells and data type conversions

Use cases of Excel Reader Server

• Read all sheets from an Excel file for data extraction
• Read a specific sheet by name to target a known worksheet
• Read a specific sheet by index when the sheet order is known
• Automate Excel data import into MCP‑enabled tools

FAQ from Excel Reader Server

What Python version is required?

Python 3.10 or higher is required.

What are the main dependencies?

The server depends on mcp >= 1.2.1 and openpyxl >= 3.1.5.

What format does the server return?

Data is returned as a JSON object where each sheet is a key mapped to an array of rows (each row is an array of string values). Empty cells are represented as empty strings.

How do I read a specific sheet by name?

Use the read_excel_by_sheet_name tool and provide the sheet_name parameter. If omitted, the first sheet is read.

How are errors handled?

The server returns clear error messages for file not found, invalid sheet name, index out of range, and general read errors.