Files
sbroenne__mcp-server-excel/README.md
T
Stefan Broenner ae71b7cff9 feat(pivottable): Complete PivotTable expansion (Issue #219) (#223)
* feat(pivottable): Add date grouping by Days/Months/Quarters/Years (Task 1 of Issue #219)

Implements GroupByDate operation for PivotTable fields with support for all 4 date intervals.
Excel automatically creates hierarchical groupings (e.g., Months + Years) for proper time-based analysis.

CRITICAL DISCOVERY - NumberFormat Requirement:
- Source data MUST be formatted with date NumberFormat BEFORE creating PivotTable
- Without proper formatting, dates stored as serial numbers (e.g., 45672) with 'Standard' format
- Excel silently fails to group plain numbers - grouping requires date-formatted data
- Solution: Apply NumberFormat = 'm/d/yyyy' to source range before PivotTable creation

Implementation:
- Added DateGroupingInterval enum (Days, Months, Quarters, Years)
- Implemented GroupByDate in RegularPivotTableFieldStrategy using Range.Group()
- Uses PivotField.DataRange.Cells[1,1] for single cell grouping
- Periods array: [Seconds, Minutes, Hours, Days, Months, Quarters, Years]
- Hierarchical grouping: Months/Quarters automatically include Years
- MCP Server: Added GroupByDate action to ExcelPivotTableTool with dateGroupingInterval parameter

Infrastructure Changes:
- Added xUnit logging support via MartinCostello.Logging.XUnit package
- Added IExcelBatch.Logger property with proper STA thread affinity
- Logger passed through batch operations for diagnostics

Test Coverage (4 new tests, all passing):
- GroupByDate_DaysInterval_CreatesDailyGroups
- GroupByDate_MonthsInterval_CreatesMonthlyGroups
- GroupByDate_QuartersInterval_CreatesQuarterlyGroups
- GroupByDate_YearsInterval_CreatesYearlyGroups

All 38 PivotTable tests passing.

Technical Details:
- Date serial: 45672 (Double) = 2025-01-15 (days since 1900-01-01)
- DataRange for Row/Column fields = 'Items in the field'
- Group() called on single cell, not entire range
- Error logging preserved with #pragma CA1848 suppression

Documentation:
- XML docs on interface and implementation with NumberFormat requirement
- Code examples showing proper date formatting

Related: #219 (Task 1 complete)

* feat(pivottable): Add numeric grouping + remove misleading Async naming (Task 2 of Issue #219)

Implements GroupByNumeric operation for numeric field range grouping.
Creates groups like 0-100, 100-200, 200-300 for age groups, price ranges, score bands.

Implementation:
- Uses Range.Group() with Start, End, By parameters
- By parameter specifies interval size (e.g., 100)
- Start/End nullable → null = auto-detect field min/max
- Periods parameter ignored for numeric fields (only for dates)
- Type casting required: double? → object for COM interop
- VB.NET compatibility: Renamed 'end' parameter to 'endValue'

BREAKING CHANGE (Code Quality Improvement):
- Removed misleading 'Async' suffix from 21 synchronous methods in ExcelPivotTableTool
- Methods are synchronous (no async/await/Task) but were incorrectly named
- User observation: 'why do we have Async - everything is Sync!' (correct!)
- Affected: List, Read, Create*, Delete, Refresh, *Field, GroupBy* methods
- Impact: Code now accurately reflects synchronous implementation
- No API change: Method names were internal/private

Documentation Updates:
- Rewrote mcp-server-guide.instructions.md to remove all Async references
- Clarified that all action methods are synchronous
- Tool signatures are 'async Task<string>' only for MCP SDK requirements
- Updated all code examples to show synchronous patterns

Test Coverage (3 new tests, all passing):
- GroupByNumeric_AutoRange_CreatesNumericGroups (interval=100, auto min/max)
- GroupByNumeric_CustomRange_CreatesNumericGroups (0-1000, interval=200)
- GroupByNumeric_SmallInterval_CreatesFineGrainedGroups (interval=50)
- Fixed aggregation function: Use AggregationFunction.Count for text fields

Technical Details:
- Type casting: start.HasValue ? (object)start.Value : true
- COM interop: Excel expects object type for Group() parameters
- VB.NET interop: 'end' keyword conflict → renamed to 'endValue'
- OLAP: Not supported (returns clear error with Power Pivot guidance)

All 41 PivotTable tests passing (38 existing + 3 new).

Related: #219 (Task 2 complete)

* feat(pivottable): Add calculated fields with formulas

Implements Task 3 of Issue #219: CreateCalculatedField operation

FEATURES:
- Regular PivotTables: Full support via CalculatedFields.Add() API
- OLAP PivotTables: NotSupported (use DAX measures instead)
- Formula syntax: =FieldName1 operator FieldName2 (e.g., =Revenue-Cost)
- Operators: + - * / ^ ()

IMPLEMENTATION:
- IPivotTableFieldStrategy: CreateCalculatedField interface method
- RegularPivotTableFieldStrategy: Uses pivot.CalculatedFields().Add()
- OlapPivotTableFieldStrategy: Returns NotSupported with DAX workflow hint
- PivotTableCommands.CalculatedFields.cs: Routes to correct strategy
- PivotTableAction.CreateCalculatedField: New enum value
- ExcelPivotTableTool: MCP Server integration with formula parameter
- PivotFieldResult: Added Formula property for result tracking

TESTS:
- 4 new regular PivotTable tests (multiplication, subtraction, complex, addition)
- 1 new OLAP test using DataModelTestsFixture
- Tests cover: formulas with different operators and parentheses
- OLAP test verifies NotSupported behavior with proper error messages

COMPATIBILITY:
- All 41 existing PivotTable tests passing (no regressions)
- Total: 46 passing tests (41 existing + 5 new)

Closes Task 3 of #219

* feat(pivottable): Add layout and subtotals control (Task 4 of Issue #219)

Implements Task 4 of Issue #219: SetLayout and SetSubtotals operations

FEATURES:
- Layout control: Compact (default), Tabular, Outline forms
- Subtotals control: Show/hide automatic subtotals per field
- Full support for both regular and OLAP PivotTables

LAYOUT FORMS:
- Compact (0): All row fields in single column with indentation
- Tabular (1): Each field in separate column, subtotals at bottom
- Outline (2): Each field in separate column, subtotals at top

IMPLEMENTATION:
- IPivotTableFieldStrategy: SetLayout and SetSubtotals interface methods
- RegularPivotTableFieldStrategy: Uses RowAxisLayout() and field.Subtotals[1]
- OlapPivotTableFieldStrategy: Full support for both operations
- PivotTableCommands.Layout.cs: Routes to correct strategy
- PivotTableCommands.Subtotals.cs: Routes to correct strategy
- PivotTableAction: SetLayout and SetSubtotals enum values
- ExcelPivotTableTool: MCP Server integration with layout and subtotalsVisible parameters

TESTS:
- 6 new tests covering all layout forms and subtotals scenarios
- Tests for both regular and OLAP PivotTables
- Round-trip verification tests

COMPATIBILITY:
- All 46 existing PivotTable tests passing (no regressions)
- Total: 52 passing tests (46 existing + 6 new)

CLOSES #219: All 4 tasks complete
- Task 1: Date grouping (committed 52d1a6d)
- Task 2: Numeric grouping (committed 2d58a45)
- Task 3: Calculated fields (committed 6b6d683)
- Task 4: Layout & Subtotals (this commit)

Issue #219 complete - PivotTable automation fully expanded

* feat(pivottable): Add grand totals control (Task 5 of Issue #219)

Implements feature #8 from Issue #219: SetGrandTotals operation for independent row/column grand totals control in PivotTables.

FEATURES:
- Row grand totals control: Show/hide bottom summary row
- Column grand totals control: Show/hide right summary column
- Independent control: Configure row and column separately
- Full support: Both regular and OLAP PivotTables

IMPLEMENTATION:
- IPivotTableFieldStrategy: SetGrandTotals interface method using pivot.RowGrand/ColumnGrand properties
- RegularPivotTableFieldStrategy: Direct COM property assignment
- OlapPivotTableFieldStrategy: Same COM properties (full OLAP support)
- PivotTableCommands.GrandTotals.cs: Routes to appropriate strategy via factory
- PivotTableAction: SetGrandTotals enum value added
- ExcelPivotTableTool: MCP Server integration with showRowGrandTotals/showColumnGrandTotals parameters

TESTS:
- 6 new tests covering all show/hide combinations
- Test scenarios: show both, hide both, show row only, show column only, multiple sequential changes, round-trip persistence
- All tests passing (58 total: 52 existing + 6 new)

VERIFICATION:
- Build: 0 warnings, 0 errors
- Tests: 58/58 passing (all PivotTable tests)
- Pre-commit: All checks passed (COM leaks, coverage, naming, switch completeness, success flag, MCP smoke test)

CLOSES #219: All required features complete
- Priority 1 (Tasks 1-4 from commits 2417b84, 3cd4a15, c93e44b, 4826ca5): Date grouping, numeric grouping, calculated fields, layout & subtotals ✅
- Feature #8 (Task 5 - this commit): Grand totals control ✅
- Features #6-7 not needed per requirements (OLAP drill, connection management)

* docs: Update operation counts and shorten release notes for Issue #219

- Updated PivotTable actions: 20 → 21 (added SetGrandTotals operation)
- Updated total operations: 163 → 164, total actions: 155 → 156
- Added CHANGELOG entry with Task 5 features (grand totals, grouping, calculated fields, layout/subtotals)
- Shortened release workflow notes ~70% to reduce redundancy with main README
- Files updated: README.md, vscode-extension/README.md, gh-pages/index.md, ExcelMcp.McpServer/README.md, CHANGELOG.md, release-mcp-server.yml

* Merge remote-tracking branch 'origin/main' into feature/pivottable-expansion-219
2025-11-20 18:16:30 +00:00

19 KiB

ExcelMcp - MCP Server for Microsoft Excel

Build MCP Server Build CLI Release Downloads NuGet Downloads - MCP Server

NuGet MCP Server NuGet CLI

License: MIT .NET Platform Built with Copilot

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
  • ✅ Comprehensive automation - Currently supports 164 operations across 12 specialized tools covering Power Query, Data Model/DAX, VBA, PivotTables, Excel Tables, ranges, conditional formatting, 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
  • 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 - 11 operations: atomic workflows (create, update-and-refresh, refresh-all), manage transformations, load configurations (worksheet, data model, connection only), M code evaluation
  • 📊 Power Pivot (Data Model) - 14 operations: build DAX measures, manage relationships, discover model structure (tables, columns)
  • 🎨 Excel Tables - 26 operations: automate formatting, filtering, sorting, structured references, number formats, column management
  • 📈 PivotTables - 21 operations: create and configure PivotTables for interactive analysis, control grand totals
  • 📝 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 - 9 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 (11 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:

  • List, view, delete Power Query transformations
  • Manage query load destinations (worksheet/data model/connection-only/both)
  • Get load configuration for existing queries
  • List Excel workbook sources for Power Query integration

Data Model & DAX (Power Pivot) (14 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)
  • Get comprehensive model information
  • Refresh data model
  • 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).

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!


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!


🔧 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

12 specialized tools for comprehensive Excel automation:

  1. excel_powerquery (11 actions) - Power Query M code: create, view, update, delete, refresh, load configuration, list Excel sources
  2. excel_datamodel (14 actions) - Power Pivot (Data Model): CRUD DAX measures/relationships, discover structure (tables, columns), refresh
  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 (43 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, cell protection
  6. excel_conditionalformat (2 actions) - Conditional Formatting: add rules (cell value, expression-based), clear rules
  7. excel_vba (6 actions) - VBA: list, view, import, update, run, delete modules
  8. excel_connection (9 actions) - Connections: OLEDB/ODBC/Text/Web management, properties, refresh, test
  9. 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)
  10. excel_namedrange (7 actions) - Named ranges: list, get, set, create, create-bulk, delete, update
  11. excel_file (6 actions) - File operations: create empty, open, save, close, close-workbook, test

Total: 11 tools with 155 actions

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


📋 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). Run excelcli --help for a categorized list of commands, or excelcli sheet --help (replace sheet) to view action-specific options. Always follow the session pattern: excelcli session open <file> → run commands with --session <id> → excelcli session save/close <id>. 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

SEO & Discovery

Excel Automation • Automate Excel with AI • MCP Server • Model Context Protocol • GitHub Copilot Excel • AI Excel Assistant • Power Query Automation • Power Query M Code • Power Pivot Automation • DAX Measures • DAX Automation • Data Model Automation • PivotTable Automation • VBA Automation • Excel Tables Automation • Excel AI Integration • COM Interop • Windows Excel Automation • Excel Development Tools • Excel Productivity • Excel Scripting • Conversational Excel • Natural Language Excel