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.
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19
Forks
4
Language
Python
License
AGPL-3.0
Category
Last pushed
Feb 28, 2026
Commits (30d)
0
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