mcp-excel and excel-mcp

mcp-excel
40
Emerging
excel-mcp
31
Emerging
Maintenance 10/25
Adoption 6/25
Maturity 9/25
Community 15/25
Maintenance 6/25
Adoption 3/25
Maturity 9/25
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.

Implements atomic query operations (filter, aggregate, group_by, rank) that return precise results instead of raw data, preventing context overflow when analyzing large Excel files. Built on Python with openpyxl for .xls/.xlsx support, it integrates with MCP-compatible AI agents (Claude, Cursor, Cline) via stdio transport, sending only computed results and metadata to the model while keeping bulk data local. Supports 12 filter operators, 8 aggregation functions, statistical analysis, and generates Excel formulas for reproducible results.

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

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