Excel MCP Server

What is Excel MCP Server?

An MCP server that provides comprehensive Excel file management and data analysis capabilities. It integrates with the Model Context Protocol and is intended for users who need to read, write, analyze, and visualize Excel data programmatically through AI assistants like Claude Desktop.

How to use Excel MCP Server?

Install the server in a Python environment using uv or pip, then integrate it with Claude Desktop by editing the claude_desktop_config.json file to include the uvx mcp-excel-server command. Once configured, you can use the available tools and resources to perform operations on Excel files.

Key features of Excel MCP Server

• Read multiple Excel formats (XLSX, XLS, CSV, TSV, JSON)
• Write and update Excel files
• Generate summary statistics and descriptive analysis
• Create pivot tables and filter data
• Produce charts (line, bar, scatter, histogram)

Use cases of Excel MCP Server

• Analyze a sales_data.xlsx file for patterns
• Create a bar chart from product_sales.csv data
• Filter employees over age 30 in an employees.xlsx file
• Generate a pivot table of department sales

FAQ from Excel MCP Server

What file formats does Excel MCP Server support?

It supports XLSX, XLS, CSV, TSV, and JSON files.

What are the dependencies of Excel MCP Server?

The dependencies are pandas, numpy, matplotlib, and seaborn.

How is Excel MCP Server integrated with Claude Desktop?

You edit the claude_desktop_config.json file to add a server entry with the command uvx and arguments ["mcp-excel-server"], optionally setting the PYTHONPATH environment variable.

What security measures does Excel MCP Server implement?

Files are read only from specified paths, file size is limited, accidental overwriting is prevented, and data transformation operations are strictly controlled.