mcp-excel and Excel-MCP-Server-Master
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-Server-Master
guillehr2/Excel-MCP-Server-Master
Excel MCP Server - Manipulate Excel files without Microsoft Excel. Model Context Protocol for XLSX, XLSM with Claude AI integration
Implements a Node.js MCP server with openpyxl backend that exposes 20+ tools for Excel automation—including sheet management, formula writing, chart/pivot table generation, and multi-format import/export (CSV, JSON, SQL, PDF)—configured via stdio transport for seamless Claude Desktop integration. Supports advanced workflows like dashboard creation and batch processing without external dependencies, making it architecture-agnostic across Windows, macOS, and Linux environments.
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