excel-mcp-automation

name	excel-mcp-automation
description	AI-powered Excel automation via COM API - 25 tools, 230 operations for Power Query, DAX, VBA, PivotTables, Charts, and more (Windows only)
triggers	["automate excel with AI","create excel pivottable","generate power query script","format excel ranges","work with excel vba","build excel charts","manage excel data model","create excel tables"]

Excel MCP Automation

Skill by ara.so — MCP Skills collection.

What This Does

ExcelMcp is a Model Context Protocol (MCP) server and CLI that enables AI assistants to automate Microsoft Excel through natural language. It uses Excel's native COM API (100% safe, zero file corruption risk) to control the actual Excel application on Windows.

Key Capabilities:

• 🔄 Power Query (M code, atomic workflows, load destinations)
• 📊 Data Model/DAX (measures, relationships, model structure)
• 🎨 Excel Tables (lifecycle, filtering, sorting, structured references)
• 📈 PivotTables (creation, fields, aggregations, calculated members)
• 📉 Charts (all types, series, formatting, data labels, trendlines)
• 📝 VBA (modules, execution, version control)
• 📋 Ranges (values, formulas, formatting, validation, protection)
• 🔌 Connections (OLEDB/ODBC management)
• 🎚️ Slicers (interactive filtering)
• 📸 Screenshots (capture ranges/sheets as PNG)

Requirements:

• Windows OS (COM interop is Windows-specific)
• Microsoft Excel 2016 or later installed
• Desktop environment (not for server-side processing)

Installation

Option 1: VS Code Extension (Recommended for Conversational AI)

Install from VS Code Marketplace:

code --install-extension sbroenne.excel-mcp

Option 2: Claude Desktop

Download .mcpb from releases and double-click to install.

Option 3: CLI Tool (Recommended for Coding Agents)

# Download standalone executable (no .NET runtime required)
# From: https://github.com/sbroenne/mcp-server-excel/releases/latest
# Extract excelcli.exe to a directory in PATH

# OR install via .NET tool (requires .NET 10 runtime)
dotnet tool install --global Sbroenne.ExcelMcp.CLI

# Verify installation
excelcli --version

Option 4: GitHub Copilot Plugin

# Register plugin marketplace (one-time)
copilot plugin marketplace add sbroenne/mcp-server-excel-plugins

# Install CLI skill (for coding agents)
copilot plugin install excel-cli@mcp-server-excel-plugins

# Install MCP server skill (for conversational AI)
copilot plugin install excel-mcp@mcp-server-excel-plugins

Option 5: Manual MCP Server Setup

# Download mcp-excel.exe from releases
# Add to PATH, then configure your MCP client:

# Auto-configure for coding agents (requires Node.js)
npx add-mcp "mcp-excel" --name excel-mcp

# OR manually add to MCP client config (e.g., Claude Desktop)
# %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "excel-mcp": {
      "command": "mcp-excel.exe"
    }
  }
}

CLI vs MCP Server

Interface	Best For	Token Usage
CLI (excelcli)	Coding agents (Copilot, Cursor), scripting	64% fewer tokens
MCP Server	Conversational AI (Claude Desktop, VS Code Chat)	More tokens, better tool discovery

Why CLI is better for coding agents:

• Single tool interface (no large schemas sent to LLM)
• Direct command execution
• Auto-generated from Core code (1:1 feature parity with MCP)
• Bundled with excel-cli skill for guidance

CLI Command Structure

All CLI commands follow the pattern:

excelcli <category> <operation> [options]

Core Categories (22 total)

# File management
excelcli file create --path "Sales.xlsx"
excelcli file open --path "Sales.xlsx"
excelcli file close --save

# Range operations
excelcli range set-values --range "A1:B2" --values "[[\"Name\",\"Age\"],[\"Alice\",30]]"
excelcli range get-values --range "A1:C10"
excelcli range set-formulas --range "D2:D10" --formulas "=B2*C2"

# Table operations
excelcli table create --range "A1:D10" --name "SalesData" --has-headers
excelcli table add-column --table "SalesData" --name "Total" --formula "=[@Quantity]*[@Price]"
excelcli table apply-filter --table "SalesData" --column "Region" --values "[\"West\",\"East\"]"

# PivotTable operations
excelcli pivottable create --source-range "A1:D100" --destination "Sheet2!A1" --name "SalesPivot"
excelcli pivottable add-row-field --pivottable "SalesPivot" --field "Product"
excelcli pivottable add-data-field --pivottable "SalesPivot" --field "Sales" --function "Sum"

# Chart operations
excelcli chart create --type "ColumnClustered" --source-range "A1:B10" --destination "Sheet1!E1" --name "SalesChart"
excelcli chart add-series --chart "SalesChart" --name "Q1 Sales" --values "=Sheet1!$B$2:$B$10" --x-values "=Sheet1!$A$2:$A$10"


excelcli powerquery create --name  --formula 
excelcli powerquery refresh --query 
excelcli powerquery export-all --output-dir 


excelcli datamodel add-measure --table  --name  --formula 
excelcli datamodel create-relationship --from-table  --from-column  --to-table  --to-column 


excelcli vba import-module --name  --code-path 
excelcli vba run-macro --macro 


excelcli rangeformat set-font --range  --bold --size 14
excelcli rangeformat set-number-format --range  --format 
excelcli rangeformat auto-fit-columns --range 


excelcli conditionalformatting add-rule --range  --rule-type  --operator  --formula1  --format-color 


excelcli slicer create --  --field  --destination  --name 


excelcli window show
excelcli window hide
excelcli window set-status --message 

Real-World Examples

Example 1: Create Sales Dashboard

# Create new workbook
excelcli file create --path "SalesDashboard.xlsx"

# Add sample data
excelcli range set-values --range "A1:D1" --values "[[\"Date\",\"Product\",\"Quantity\",\"Price\"]]"
excelcli range set-values --range "A2:D5" --values "[[\"2024-01-01\",\"Widget\",10,25.50],[\"2024-01-02\",\"Gadget\",5,45.00],[\"2024-01-03\",\"Widget\",8,25.50],[\"2024-01-04\",\"Gadget\",12,45.00]]"

# Convert to table
excelcli table create --range "A1:D5" --name "SalesData" --has-headers

# Add calculated column
excelcli table add-column --table "SalesData" --name "Total" --formula "=[@Quantity]*[@Price]"

# Create PivotTable
excelcli pivottable create --source-table "SalesData" --destination "Sheet2!A1" --name "ProductSummary"
excelcli pivottable add-row-field --pivottable "ProductSummary" --field "Product"
excelcli pivottable add-data-field --pivottable "ProductSummary" --field "Total" --function "Sum"

# Create chart
excelcli chart create --type "ColumnClustered" --pivottable "ProductSummary" --destination "Sheet2!E1" --name "ProductChart"

# Show Excel to see results
excelcli window show

# Save and close
excelcli file save
excelcli file close

Example 2: Power Query ETL Workflow

# Create Power Query to import CSV
excelcli powerquery create --name "ImportSales" --formula "let Source = Csv.Document(File.Contents(\"C:\\Data\\sales.csv\"), [Delimiter=\",\", Encoding=65001, Headers=true]), ChangedType = Table.TransformColumnTypes(Source, {{\"Date\", type date}, {\"Amount\", type number}}) in ChangedType" --load-to-worksheet "RawData"

# Create another query to transform data
excelcli powerquery create --name "CleanSales" --formula "let Source = ImportSales, Filtered = Table.SelectRows(Source, each [Amount] > 0) in Filtered" --load-to-data-model

# Add DAX measure
excelcli datamodel add-measure --table "CleanSales" --name "TotalRevenue" --formula "SUM(CleanSales[Amount])"

# Refresh all queries
excelcli powerquery refresh-all

# Export M code for version control
excelcli powerquery export-all --output-dir "./power-queries"

Example 3: Automated Report Generation (C# Script)

using System.Diagnostics;

void GenerateMonthlyReport(string dataPath, string outputPath)
{
    // Open template
    RunExcelCli($"file open --path \"{dataPath}\"");
    
    // Refresh all connections
    RunExcelCli("connection refresh-all");
    
    // Update calculations
    RunExcelCli("calculation calculate-all");
    
    // Format report
    RunExcelCli("rangeformat set-font --range \"A1:Z1\" --bold --color \"White\"");
    RunExcelCli("rangeformat set-fill --range \"A1:Z1\" --color \"DarkBlue\"");
    RunExcelCli("rangeformat auto-fit-columns --range \"A:Z\"");
    
    // Apply conditional formatting to revenue column
    RunExcelCli("conditionalformatting add-rule --range \"F2:F1000\" --rule-type \"ColorScale\" --min-color \"Red\" --max-color \"Green\"");
    
    // Create summary pivot
    RunExcelCli("pivottable create --source-range \"A1:Z1000\" --destination \"Summary!A1\" --name \"MonthlySummary\"");
    RunExcelCli("pivottable add-row-field --pivottable \"MonthlySummary\" --field \"Department\"");
    RunExcelCli("pivottable add-data-field --pivottable \"MonthlySummary\" --field \"Revenue\" --function \"Sum\"");
    
    // Add chart
    RunExcelCli("chart create --type \"ColumnClustered\" --pivottable \"MonthlySummary\" --destination \"Summary!E1\" --name \"DeptRevenue\"");
    
    // Save as new file
    RunExcelCli($"file save --path \"{outputPath}\"");
    RunExcelCli("file close");
}

void RunExcelCli(string args)
{
    var psi =  ProcessStartInfo
    {
        FileName = ,
        Arguments = ,
        UseShellExecute = ,
        RedirectStandardOutput = ,
        RedirectStandardError = 
    };
    
      process = Process.Start(psi);
    process.WaitForExit();
    
     (process.ExitCode != )
    {
         error = process.StandardError.ReadToEnd();
          Exception();
    }
}


GenerateMonthlyReport(, );

Example 4: VBA Macro Management

# Export existing VBA modules
excelcli vba export-module --name "DataValidation" --output-path "./vba/DataValidation.bas"
excelcli vba export-module --name "Utilities" --output-path "./vba/Utilities.bas"

# Later: Import updated modules
excelcli vba import-module --name "DataValidation" --code-path "./vba/DataValidation.bas" --replace

# Run macro
excelcli vba run-macro --macro "DataValidation.ValidateAllSheets"

# List all VBA modules
excelcli vba list-modules

Configuration & Environment

ExcelMcp requires no special configuration files. Key behaviors:

File Paths:

• Always use absolute paths or ensure working directory is correct
• Power Query file references must use absolute paths

Excel Instance:

• Server creates/reuses a single Excel COM instance
• Close all Excel files before starting automation
• Use window show to watch AI work in real-time
• Use window hide for headless automation

Environment Variables:

# Optional: Customize Excel COM instance behavior
# (Most users don't need these)
EXCEL_VISIBLE=true    # Start Excel visible by default
EXCEL_SCREENUPDATING=false  # Disable screen updates for performance

Common Patterns

Pattern 1: Table → PivotTable → Chart Pipeline

# Create table from range
excelcli table create --range "A1:F100" --name "SalesData" --has-headers

# Add slicer for interactive filtering
excelcli slicer create --source "SalesData" --field "Region" --destination "Sheet1!H1"

# Create pivot from table
excelcli pivottable create --source-table "SalesData" --destination "Sheet2!A1" --name "Summary"
excelcli pivottable add-row-field --pivottable "Summary" --field "Product"
excelcli pivottable add-column-field --pivottable "Summary" --field "Quarter"
excelcli pivottable add-data-field --pivottable "Summary" --field "Sales" --function "Sum"

# Chart from pivot
excelcli chart create --type "ColumnClustered" --pivottable "Summary" --destination "Sheet2!F1"

Pattern 2: Power Query → Data Model → DAX

# Import data to Data Model
excelcli powerquery create --name "Sales" --formula "let Source = Csv.Document(File.Contents(\"C:\\Data\\sales.csv\")) in Source" --load-to-data-model

excelcli powerquery create --name "Products" --formula "let Source = Csv.Document(File.Contents(\"C:\\Data\\products.csv\")) in Source" --load-to-data-model

# Create relationship
excelcli datamodel create-relationship --from-table "Sales" --from-column "ProductID" --to-table "Products" --to-column "ProductID"

# Add measures
excelcli datamodel add-measure --table "Sales" --name "TotalRevenue" --formula "SUM(Sales[Amount])"
excelcli datamodel add-measure --table "Sales" --name "AvgOrderValue" --formula "DIVIDE([TotalRevenue], COUNTROWS(Sales))"

Pattern 3: Batch Formatting

# Format multiple header rows in one command
excelcli rangeformat set-font --range "A1:G1,A12:G12,A24:G24" --bold --size 12

# Apply number formats
excelcli rangeformat set-number-format --range "B2:B100" --format "$#,##0.00"  # Currency
excelcli rangeformat set-number-format --range "C2:C100" --format "0.0%"        # Percentage
excelcli rangeformat set-number-format --range "D2:D100" --format "mm/dd/yyyy"  # Date

# Auto-fit all columns
excelcli rangeformat auto-fit-columns --range "A:Z"

Troubleshooting

Excel instance already running

Issue: "Excel is already open with another file"

Solution:

# Close all Excel files first
excelcli file close --no-save
# Or manually close Excel application

COM initialization failed

Issue: "Failed to create Excel COM object"

Solution:

• Ensure Microsoft Excel is installed (2016 or later)
• Run on Windows (COM is Windows-only)
• Check Excel is not open in another user session

Power Query formula errors

Issue: "Power Query syntax error"

Solution:

# Use absolute paths in M formulas
# BAD:  File.Contents("data.csv")
# GOOD: File.Contents("C:\\Data\\data.csv")

# Escape quotes in JSON formulas
excelcli powerquery create --name "Test" --formula "let Source = \"Hello\" in Source"

Range not found

Issue: "Range 'Sheet1!A1:B10' does not exist"

Solution:

# Ensure worksheet exists first
excelcli worksheet create --name "Sheet1"

# Use correct worksheet reference
excelcli range set-values --range "Sheet1!A1:B2" --values "[[1,2],[3,4]]"

JSON parsing errors (CLI)

Issue: "Invalid JSON in --values argument"

Solution:

# Escape quotes properly in PowerShell/CMD
excelcli range set-values --range "A1:B2" --values "[[\"Name\",\"Age\"],[\"Alice\",30]]"

# Or use single quotes (PowerShell)
excelcli range set-values --range 'A1:B2' --values '[["Name","Age"],["Alice",30]]'

Performance optimization

Issue: Slow automation for large datasets

Solution:

# Disable screen updating
excelcli window hide

# Set calculation to manual
excelcli calculation set-mode --mode "Manual"

# Do your work...

# Re-enable when done
excelcli calculation calculate-all
excelcli calculation set-mode --mode "Automatic"
excelcli window show

MCP Server Tool Reference

When using the MCP server (not CLI), these are the available tools:

• file - Create, open, save, close workbooks
• worksheet - Create, delete, rename, move sheets
• range - Get/set values, formulas, named ranges
• range_format - Font, fill, borders, alignment, number formats
• range_validation - Data validation rules
• range_protection - Protect/unprotect ranges
• table - Create, modify, filter Excel tables
• pivottable - Create, configure PivotTables
• pivottable_field - Manage PivotTable fields
• pivottable_calculated - Add calculated fields/items
• chart - Create, configure charts
• chart_series - Manage chart data series
• powerquery - Create, refresh, export Power Query queries
• datamodel - Manage Data Model tables, relationships
• datamodel_dax - Create DAX measures
• vba - Import, export, run VBA macros
• connection - Manage data connections
• slicer - Create, configure slicers
• conditionalformatting - Add/clear formatting rules
• screenshot - Capture ranges/sheets as PNG
• window - Show/hide Excel, set status messages
• calculation - Get/set calculation mode, trigger recalc

Each tool has multiple operations. See FEATURES.md for complete reference.

Additional Resources

• Documentation: excelmcpserver.dev
• GitHub: sbroenne/mcp-server-excel
• VS Code Extension: Marketplace
• Releases: Latest downloads
• Feature Reference: FEATURES.md
• Development Guide: DEVELOPMENT.md

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Remember: ExcelMcp controls the actual Excel application via COM. Always close Excel files before starting automation, and use window show to watch AI work in real-time during development.