mcp-excel and excel-mcp

These two tools are competitors, as both aim to provide an MCP server for AI agents to interact with Excel files, using different underlying implementations (jwadow/mcp-excel focuses on atomic operations like SQL, while mort-lab/excel-mcp leverages openpyxl).

mcp-excel
42
Emerging
excel-mcp
35
Emerging
Maintenance 10/25
Adoption 6/25
Maturity 11/25
Community 15/25
Maintenance 6/25
Adoption 3/25
Maturity 13/25
Community 13/25
Stars: 19
Forks: 4
Downloads: —
Commits (30d): 0
Language: Python
License: AGPL-3.0
Stars: 3
Forks: 2
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

About mcp-excel

jwadow/mcp-excel

MCP server for AI agents to analyze Excel spreadsheets through atomic operations. Like SQL for Excel. Fast, accurate, and efficient. No context overflow.

This project helps business professionals like operations managers, financial analysts, or HR specialists quickly analyze large Excel spreadsheets using AI. Instead of manually sifting through data, you describe what you need, and an AI agent provides precise answers, summaries, or formulas without exposing sensitive raw data. It's designed for anyone who regularly works with complex Excel files and wants to leverage AI for faster, more accurate insights.

spreadsheet-analysis data-extraction business-intelligence financial-reporting HR-data-processing

About excel-mcp

mort-lab/excel-mcp

A Model Context Protocol (MCP) server for working with Excel (.xlsx) files without requiring Microsoft Excel. Enables AI assistants to create, read, modify, and format spreadsheets using openpyxl, fully in Python and cross-platform.

Related comparisons

mcp-excel and excel-mcp-server mcp-excel and mcp-server-excel mcp-excel and Excel-MCP-Server-Master mcp-excel and excel-mcp-server mcp-excel and Excel-MCP-Server-Master mcp-excel and xlsx-mcp

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