Sbroenne.ExcelMcp.McpServer 1.8.30

ExcelMcp - Model Context Protocol Server for Excel

mcp-name: io.github.sbroenne/mcp-server-excel

Control Excel with Natural Language through AI assistants like GitHub Copilot, Claude, and ChatGPT. This MCP server enables AI-powered Excel automation for Power Query, DAX measures, VBA macros, PivotTables, Charts, and more.

➡️ Learn more and see examples

🛡️ 100% Safe - Uses Excel's Native COM API

Unlike third-party libraries that manipulate .xlsx files (risking corruption), ExcelMcp uses Excel's official COM automation API. This guarantees zero risk of file corruption while you work interactively with live Excel files - see your changes happen in real-time.

🔗 Unified Service Architecture - The MCP Server forwards all requests to the shared ExcelMCP Service, enabling CLI and MCP to share sessions transparently.

CLI also available: The MCP Server tool (mcp-excel) and CLI tool (excelcli) are published as separate .NET tools. Install Sbroenne.ExcelMcp.McpServer for MCP clients, and optionally install Sbroenne.ExcelMcp.CLI for scripting/RPA workflows.

Requirements: Windows OS + Excel 2016+

🚀 Installation

Quick Setup Options:

1. VS Code Extension - One-click install for GitHub Copilot
2. Manual Install - Works with Claude Desktop, Cursor, Cline, Windsurf, and other MCP clients
3. MCP Registry - Find us at registry.modelcontextprotocol.io

Manual Installation (All MCP Clients):

Requires .NET 10 Runtime or SDK

# Install MCP Server tool
dotnet tool install --global Sbroenne.ExcelMcp.McpServer

# Optional: install CLI tool separately
dotnet tool install --global Sbroenne.ExcelMcp.CLI

Supported AI Assistants:

• ✅ GitHub Copilot (VS Code, Visual Studio)
• ✅ Claude Desktop
• ✅ Cursor
• ✅ Cline (VS Code Extension)
• ✅ Windsurf
• ✅ Any MCP-compatible client

📖 Detailed setup instructions: Installation Guide

🎯 Quick config examples: examples/mcp-configs/

🛠️ What You Can Do

25 specialized tools with 225 operations:

• 🔄 Power Query (1 tool, 11 ops) - Atomic workflows, M code management, load destinations
• 📊 Data Model/DAX (2 tools, 18 ops) - Measures, relationships, model structure
• 🎨 Excel Tables (2 tools, 27 ops) - Lifecycle, filtering, sorting, structured references
• 📈 PivotTables (3 tools, 30 ops) - Creation, fields, aggregations, calculated members/fields
• 📉 Charts (2 tools, 26 ops) - Create, configure, series, formatting, data labels, trendlines
• 📝 VBA (1 tool, 6 ops) - Modules, execution, version control
• 📋 Ranges (4 tools, 42 ops) - Values, formulas, formatting, validation, protection
• 📄 Worksheets (2 tools, 16 ops) - Lifecycle, colors, visibility, cross-workbook moves
• 🔌 Connections (1 tool, 9 ops) - OLEDB/ODBC management and refresh
• 🏷️ Named Ranges (1 tool, 6 ops) - Parameters and configuration
• 📁 Files (1 tool, 6 ops) - Session management, workbook creation, IRM/AIP-protected file support
• 🧮 Calculation Mode (1 tool, 3 ops) - Get/set calculation mode and trigger recalculation
• 🎚️ Slicers (1 tool, 8 ops) - Interactive filtering for PivotTables and Tables
• 🎨 Conditional Formatting (1 tool, 2 ops) - Rules and clearing
• 📸 Screenshot (1 tool, 2 ops) - Capture ranges/sheets as PNG for visual verification
• 🪧 Window Management (1 tool, 9 ops) - Show/hide Excel, arrange, position, status bar feedback

📚 Complete Feature Reference → - Detailed documentation of all 225 operations

AI-Powered Workflows:

• 💬 Natural language Excel commands through GitHub Copilot, Claude, or ChatGPT
• 🔄 Optimize Power Query M code for performance and readability
• 📊 Build complex DAX measures with AI guidance
• 📋 Automate repetitive data transformations and formatting
• 👀 Show Excel Mode - Say "Show me Excel while you work" to watch changes live

💡 Example Use Cases

"Create a sales tracker with Date, Product, Quantity, Unit Price, and Total columns"
→ AI creates the workbook, adds headers, enters sample data, and builds formulas

"Create a PivotTable from this data showing total sales by Product, then add a chart"
→ AI creates PivotTable, configures fields, and adds a linked visualization

"Import products.csv with Power Query, load to Data Model, create a Total Revenue measure"
→ AI imports data, adds to Power Pivot, and creates DAX measures for analysis

"Create a slicer for the Region field so I can filter interactively"
→ AI adds slicers connected to PivotTables or Tables for point-and-click filtering

"Put this data in A1: Name, Age / Alice, 30 / Bob, 25"
→ AI writes data directly to cells using natural delimiters you provide

📋 Additional Resources

• GitHub Repository - Source code, issues, discussions
• Installation Guide - Detailed setup for all platforms
• VS Code Extension - One-click installation
• CLI Documentation - Comprehensive commands for RPA and CI/CD automation

License: MIT
Privacy: PRIVACY.md
Platform: Windows only (requires Excel 2016+)
Support: GitHub Issues