ExcelMcp - MCP Server for Microsoft Excel

Automate Excel with AI - A Model Context Protocol (MCP) server for comprehensive Excel automation through conversational AI.

ExcelMcp is a comprehensive Excel automation toolkit with two interfaces:

1. MCP Server: Enables AI assistants (GitHub Copilot, Claude, ChatGPT) to automate Excel through natural language commands
2. CLI Tool: Provides direct command-line control for scripting, RPA, and CI/CD workflows

Both share the same core functionality: automate Power Query, DAX measures, VBA macros, PivotTables, formatting, and data transformations. Choose MCP for AI-powered conversations or CLI for programmatic control - no Excel programming knowledge required. Built on Excel's native COM API for zero risk of file corruption.

💡 Interactive Development: Unlike file-based tools, ExcelMcp lets you see results instantly in Excel - create a query, run it, inspect the output, refine and repeat. Excel becomes your interactive workspace for rapid development and testing.

🤔 What is This?

Use natural language OR command-line to automate complex Excel tasks - your choice.

Stop manually clicking through Excel menus for repetitive tasks. Instead, describe what you want in plain English:

Data Transformation & Analysis:

• "Optimize all my Power Queries in this workbook for better performance"
• "Create a PivotTable from SalesData table showing top 10 products by region with sum and average"
• "Build a DAX measure calculating year-over-year growth with proper time intelligence"

Formatting & Styling (No Programming Required):

• "Format the revenue columns as currency, make headers bold with blue background, and add borders to the table"
• "Apply conditional formatting to highlight values above $10,000 in red and below $5,000 in yellow"
• "Convert this data range to an Excel Table with style TableStyleMedium2, add auto-filters, and create a totals row"

Workflow Automation:

• "Find all cells containing 'Q1 2024' and replace with 'Q1 2025', then sort the table by Date descending"
• "Add data validation dropdowns to the Status column with options: Active, Pending, Completed"
• "Merge the header cells, center-align them, and auto-fit all column widths to content"

The AI assistant analyzes your request, generates the proper Excel automation commands, and executes them directly in your Excel application - no formulas or programming knowledge required.

Real-World Example - Power Query Optimization:

You: "This Power Query is taking 5 minutes to refresh. Can you optimize it?"

AI Assistant (using ExcelMcp):
1. Exports the M code to analyze performance bottlenecks
2. Identifies queries that can use query folding
3. Refactors the M code to push operations to the data source
4. Updates the query in your workbook
5. Tests the refresh (now completes in 30 seconds)

Result: A professionally optimized Power Query with documented improvements

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

Unlike third-party libraries that manipulate .xlsx files directly (risking file corruption), ExcelMcp uses Excel's official COM API. This ensures:

• ✅ Zero risk of document corruption - Excel handles all file operations safely
• ✅ Interactive development - See changes in real-time, create → test → refine → iterate instantly
• ✅ Timeout protection - Built-in safeguards prevent indefinite hangs (2-min default, 5-min max)
• ✅ Comprehensive automation - Currently supports 166 operations across 11 specialized tools covering Power Query, Data Model/DAX, VBA, PivotTables, Excel Tables, ranges, and more

💻 For Developers: Think of Excel as an AI-powered REPL - write code (Power Query M, DAX, VBA), execute instantly, inspect results visually in the live workbook. No more blind editing of .xlsx files.

🔧 Advanced Features:

• Batch Operations - Group multiple operations in a single Excel session for 75-90% faster execution
• Timeout Protection - Automatic timeout enforcement with rich error messages and LLM-friendly guidance (docs)
• Progress Logging - Real-time operation status updates via stderr (MCP protocol compatible)
• Error Recovery - Intelligent retry suggestions and operation-specific troubleshooting guidance

👥 Who Should Use This?

Perfect for:

• ✅ Data analysts automating repetitive Excel workflows
• ✅ Developers building Excel-based data solutions
• ✅ Business users managing complex Excel workbooks
• ✅ Teams maintaining Power Query/VBA/DAX code in Git

Not suitable for:

• ❌ Server-side data processing (use libraries like ClosedXML, EPPlus instead)
• ❌ Linux/macOS users (Windows + Excel installation required)
• ❌ High-volume batch operations (consider Excel-free alternatives)

🎯 What You Can Do

Development & Automation:

• 🔄 Power Query - 16 operations: atomic workflows (create, update-and-refresh, refresh-all), manage transformations, load configurations (worksheet, data model, connection only), error diagnostics, M code evaluation
• 📊 Power Pivot (Data Model) - 15 operations: build DAX measures, manage relationships, discover model structure (tables, columns), export to .dax files
• 🎨 Excel Tables - 26 operations: automate formatting, filtering, sorting, structured references, number formats, column management
• 📈 PivotTables - 20 operations: create and configure PivotTables for interactive analysis
• 📝 VBA Macros - 7 operations: export/import/run VBA code, integrate with version control
• 📋 Ranges & Data - 45 operations: values, formulas, copy/paste, find/replace, formatting, validation, merge, conditional formatting, cell protection
• 📄 Worksheets - 13 operations: lifecycle management, tab colors, visibility controls
• 🔌 Connections - 11 operations: manage OLEDB, ODBC, Text, Web data sources
• 🏷️ Named Ranges - 7 operations: named range management and bulk operations

📚 See Complete Feature List (100+ Operations)

Power Query & M Code (16 operations)

✨ NEW: Atomic Operations - Single-call workflows replace multi-step patterns:

• Create - Import + load in one operation (replaces import → load workflow)
• Update & Refresh - Update M code + refresh data atomically
• Refresh All - Batch refresh all queries in workbook
• Update M Code - Stage code changes without refreshing data
• Unload - Convert loaded query to connection-only

Core Operations:

• Create, read, update, delete Power Query transformations
• Export/import M code for version control
• Manage query load destinations (worksheet/data model/connection-only/both)
• Set privacy levels for data source combinations
• Get load configuration for existing queries
• Error diagnostics and M code evaluation
• List Excel workbook sources for Power Query integration

Data Model & DAX (Power Pivot) (15 operations)

• Create/update/delete DAX measures with format types (Currency, Percentage, Decimal, General)
• Manage table relationships (create, toggle active/inactive, delete)
• Discover model structure (tables, columns, measures, relationships)
• Export measures to .dax files for Git workflows
• Get comprehensive model information
• Note: DAX calculated columns are not supported (use Excel UI for calculated columns)

Excel Tables (ListObjects) (26 operations)

• Lifecycle: create, resize, rename, delete, get info
• Styling: apply table styles, toggle totals row, set column totals
• Column management: add, remove, rename columns
• Data operations: append rows, apply filters (criteria/values), clear filters, get filter state
• Sorting: single-column sort, multi-column sort (up to 3 levels)
• Number formatting: get/set column number formats
• Advanced features: structured references, Data Model integration

PivotTables (20 operations)

• Creation: create from ranges or Excel Tables
• Field management: add/remove fields to Row, Column, Value, Filter areas
• Aggregation functions: Sum, Average, Count, Min, Max, etc. with validation
• Advanced features: field filters, sorting, custom field names, number formatting
• Data extraction: get PivotTable data as 2D arrays for further analysis
• Lifecycle: list, get info, delete, refresh

VBA Macros (7 operations)

• List all VBA modules and procedures
• View module code without exporting
• Export/import VBA modules to/from files
• Update existing modules
• Execute macros with parameters
• Delete modules
• Version control VBA code through file exports

Ranges & Worksheets

• Data Operations (10 actions): get/set values/formulas, clear (all/contents/formats), copy/paste (all/values/formulas), insert/delete rows/columns/cells, find/replace, sort
• Number Formatting (3 actions): get formats as 2D arrays, apply uniform format, set individual cell formats
• Visual Formatting (1 action): font (name, size, bold, italic, underline, color), fill color, borders (style, weight, color), alignment (horizontal, vertical, wrap text, orientation)
• Data Validation (3 actions): add validation rules (dropdowns, number/date/text rules), get validation info, remove validation
• Hyperlinks (4 actions): add, remove, list all, get specific hyperlink
• Smart Range Operations (3 actions): UsedRange, CurrentRegion, get range info (address, dimensions, format)
• Merge Operations (3 actions): merge cells, unmerge cells, get merge info
• Auto-Sizing (2 actions): auto-fit columns, auto-fit rows
• Conditional Formatting (2 actions): add conditional formatting, clear conditional formatting
• Cell Protection (2 actions): set cell lock status, get cell lock status
• Formatting & Styling (3 actions): get style, set style, format range
• 45 range operations total covering all common Excel range manipulation needs
• Worksheet management (13 actions): lifecycle (create, rename, copy, delete), tab colors (set, get, clear), visibility controls (show, hide, very-hide, get/set status)

Data Connections (11 operations)

• Manage OLEDB, ODBC, Text, Web connections
• Import/export connections via .odc files
• Update connection strings and properties
• Refresh connections and test connectivity
• Load connection-only connections to worksheet tables
• Get/set connection properties (refresh settings, background query, etc.)

Named Ranges (7 operations)

• List all named ranges with references
• Get/set single values
• Create/delete named ranges
• Update cell references
• Bulk create multiple parameters

🚀 Quick Start (2 Minutes)

Requirements: Windows OS + Microsoft Excel 2016+

⚠️ Important: Close all Excel files before using ExcelMcp. The server requires exclusive access to workbooks during automation (Excel COM limitation).

⭐ Recommended: VS Code Extension (One-Click Setup)

Fastest way to get started - everything configured automatically:

1. Install Extension

   • Open VS Code → Extensions (Ctrl+Shift+X)
   • Search for "ExcelMcp"
   • Click Install

2. Automatic Setup (no manual steps!)

   • ✅ Installs .NET 8 runtime
   • ✅ Includes bundled MCP server
   • ✅ Registers with AI assistants
   • ✅ Shows quick start guide

3. Start Using It

   The extension opens automatically after installation with a quick start guide!

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Manual Installation (Advanced Users)

For non-VS Code environments or manual setup:

# Install .NET 8 SDK
winget install Microsoft.DotNet.SDK.8

# Install ExcelMcp MCP server as a global tool
dotnet tool install --global Sbroenne.ExcelMcp.McpServer

# To update to the latest version later:
dotnet tool update --global Sbroenne.ExcelMcp.McpServer

Configure Your AI Assistant

ExcelMcp works with multiple AI coding assistants. Choose your setup:

🎯 Quick Setup: Ready-to-use config files → examples/mcp-configs/

For GitHub Copilot in VS Code - Create .vscode/mcp.json in your workspace:

{
  "servers": {
    "excel": {
      "command": "dotnet",
      "args": ["tool", "run", "mcp-excel"]
    }
  }
}

For GitHub Copilot in Visual Studio - Create .mcp.json in your solution directory or %USERPROFILE%\.mcp.json:

{
  "servers": {
    "excel": {
      "command": "dotnet",
      "args": ["tool", "run", "mcp-excel"]
    }
  }
}

For Claude Desktop - Edit %APPDATA%\Claude\claude_desktop_config.json:

{
  "mcpServers": {
    "excel": {
      "command": "dotnet",
      "args": ["tool", "run", "mcp-excel"]
    }
  }
}

For Cursor - Add to settings or %APPDATA%\Cursor\User\globalStorage\mcp\mcp.json:

{
  "mcpServers": {
    "excel": {
      "command": "dotnet",
      "args": ["tool", "run", "mcp-excel"]
    }
  }
}

For Cline (VS Code Extension) - Use the MCP settings panel in Cline or edit settings:

{
  "mcpServers": {
    "excel": {
      "command": "dotnet",
      "args": ["tool", "run", "mcp-excel"]
    }
  }
}

For Windsurf - Add to MCP servers configuration:

{
  "mcpServers": {
    "excel": {
      "command": "dotnet",
      "args": ["tool", "run", "mcp-excel"]
    }
  }
}

📖 Detailed setup for each client: Installation Guide

Test It Out

Try a practical example - ask your AI assistant:

Create an empty Excel file called "test.xlsx" and add a Power Query that loads data from a CSV file

The AI will guide you through the process and execute the commands directly!

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🔧 How It Works - COM Interop Architecture

ExcelMcp uses Windows COM automation to control the actual Excel application (not just .xlsx files).

This means you get:

• ✅ Full Excel Feature Access - Power Query engine, VBA runtime, Data Model, calculation engine, pivot tables
• ✅ True Compatibility - Works exactly like Excel UI, no feature limitations
• ✅ Live Data Operations - Refresh Power Query, connections, Data Model in real workbooks
• ✅ Interactive Development - Immediate Excel feedback as AI makes changes
• ✅ All File Formats - .xlsx, .xlsm, .xlsb, even legacy formats

Technical Requirements:

• ⚠️ Windows Only - COM interop is Windows-specific
• ⚠️ Excel Required - Microsoft Excel 2016 or later must be installed
• ⚠️ Desktop Environment - Controls actual Excel process (not for server-side processing)

🔟 MCP Tools Overview

11 specialized tools for comprehensive Excel automation:

1. excel_powerquery (16 actions) - Power Query M code: create, view, import, export, update, delete, manage load destinations, privacy levels, errors, eval, list Excel sources
2. excel_datamodel (15 actions) - Power Pivot (Data Model): CRUD DAX measures/relationships, discover structure (tables, columns), export to .dax files
3. excel_table (26 actions) - Excel Tables: lifecycle, columns, filters, sorts, structured references, totals, number formatting, Data Model integration
4. excel_pivottable (20 actions) - PivotTables: create from ranges/tables, field management (row/column/value/filter), aggregations, filters, sorting, extract data
5. excel_range (45 actions) - Ranges: get/set values/formulas, number formatting, visual formatting (font, fill, border, alignment), data validation, clear, copy, insert/delete, find/replace, sort, hyperlinks, merge, conditional formatting, cell protection
6. excel_vba (7 actions) - VBA: list, view, export, import, update, run, delete modules
7. excel_connection (11 actions) - Connections: OLEDB/ODBC/Text/Web management, properties, refresh, test
8. excel_worksheet (13 actions) - Worksheets: lifecycle (list, create, rename, copy, delete), tab colors (set-tab-color, get-tab-color, clear-tab-color), visibility (set-visibility, get-visibility, show, hide, very-hide)
9. excel_namedrange (7 actions) - Named ranges: list, get, set, create, create-bulk, delete, update
10. excel_file (3 actions) - File operations: create empty .xlsx/.xlsm workbooks, close workbook, test
11. excel_batch (3 actions) - Multi-operation performance: begin, commit, list

Total: 12 tools with 166 actions

📚 Complete MCP Server Guide → - Detailed tool documentation and examples

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📋 Additional Information

Testing Philosophy

Why No Unit Tests? ExcelMcp uses integration tests exclusively because Excel COM cannot be meaningfully mocked. Our integration tests ARE our unit tests. See ADR-001: No Unit Tests for full architectural rationale.

CLI for Direct Automation

ExcelMcp also provides a command-line interface for Excel automation (no AI required). See CLI Guide for complete documentation.

Project Information

License: MIT License - see LICENSE file

Contributing: See CONTRIBUTING.md for guidelines

Built With: This entire project was developed using GitHub Copilot AI assistance

Acknowledgments:

• Microsoft Excel Team - For comprehensive COM automation APIs
• Model Context Protocol community - For the AI integration standard
• Open Source Community - For inspiration and best practices

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