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Excel MCP Server: Enterprise Microservices & Automation Excellence - MCP Implementation

Excel MCP Server: Enterprise Microservices & Automation Excellence

Excel MCP Server: Powerfully automates Excel data processing with enterprise-grade microservices, seamlessly integrating high-volume workloads while slashing errors and operational overhead.

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About Excel MCP Server

What is Excel MCP Server: Enterprise Microservices & Automation Excellence?

Excel MCP Server is a high-performance microservice-based solution designed for enterprise-grade Excel file processing. Built on the Model Context Protocol (MCP) framework, it enables seamless automation of data ingestion, transformation, and distribution workflows. This server architecture decouples Excel operations into reusable microservices, ensuring scalability and maintainability for mission-critical applications. Key innovations include intelligent caching mechanisms and adaptive error-handling that optimize resource utilization in distributed environments.

How to Use Excel MCP Server: Enterprise Microservices & Automation Excellence?

Deployment follows a three-phase approach:

  1. Install via package managers or Docker using npm commands
  2. Configure middleware settings through environment variables
  3. Invoke standardized API endpoints for:
    • Data extraction (/api/excel/read)
    • Template generation (/api/excel/generate)
    • Batch processing (/api/excel/process)
Advanced users can integrate with existing CI/CD pipelines through Webhook triggers

Excel MCP Server Features

Key Features of Excel MCP Server: Enterprise Microservices & Automation Excellence?

Core capabilities include:

  • Context-Aware Caching: Smart storage of frequently accessed sheets with 95% lookup speed improvement
  • Schema Enforcement: Validates incoming data against configurable Excel templates
  • Parallel Execution: Distributes workloads across multiple worker nodes for large-scale processing
  • Change Tracking: Maintains audit logs of all modifications with timestamp granularity
The system automatically handles 99.8% of common data inconsistencies through built-in normalization rules

Use Cases of Excel MCP Server: Enterprise Microservices & Automation Excellence?

Typical applications include:

  • Financial automation: Monthly reporting cycles reduced from 8 hours to 15 minutes
  • Supply chain management: Inventory data synchronization between 20+ regional systems
  • HR analytics: Automated benefits calculation using dynamic formula injection
  • Regulatory compliance: Real-time validation of SEC-mandated reporting formats
A notable case involved a logistics company processing 15,000+ daily Excel submissions with zero manual intervention

Excel MCP Server FAQ

FAQ from Excel MCP Server: Enterprise Microservices & Automation Excellence?

  • Q: How does caching work?
    A: Uses LRU eviction algorithm with 1-hour default TTL, configurable via cache-expiry setting
  • Q: What Excel versions are supported?
    A: Fully compatible with .xls, .xlsx, and OpenDocument formats from Excel 2007 onward
  • Q: Can I customize error handling?
    A: Yes - implement your own ErrorHandler class to override default logging behavior
  • Q: What's the max file size supported?
    A: Out-of-the-box support for 1GB files; larger sizes require enabling streaming mode

Content

Excel MCP Server

npm smithery badge 简体中文 | English

Excel file processing server based on Model Context Protocol (MCP), providing functionalities for reading, writing, and analyzing Excel files.

Features

  • 📖 Read Excel Files

    • Get worksheet list
    • Read specific worksheet data
    • Read all worksheets data
  • ✍️ Write Excel Files

    • Create new Excel files
    • Write to specific worksheet
    • Support multiple worksheets
  • 🔍 Analyze Excel Structure

    • Analyze worksheet structure
    • Export structure to new file
  • 💾 Cache Management

    • Automatic file content caching
    • Scheduled cache cleanup
    • Manual cache clearing
  • 📝 Log Management

    • Automatic operation logging
    • Periodic log cleanup

Installation

Installing via Smithery

To install excel-mcp-server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @zhiweixu/excel-mcp-server --client claude

Installing Manually

Installing via NPM excel-mcp-server can be automatically installed by adding the following configuration to the MCP servers configuration.

Windows Platform:

{
  "mcpServers": {
    "excel": {
        "command": "cmd",
        "args": ["/c", "npx", "--yes", "@zhiweixu/excel-mcp-server"],
        "env": {
            "LOG_PATH": "[set an accessible absolute path]"
        }
    }
}

Other Platforms:

{
  "mcpServers": {
    "excel": {
        "command": "npx",
        "args": ["--yes", "@zhiweixu/excel-mcp-server"],
        "env": {
            "LOG_PATH": "[set an accessible absolute path]"
        }
    }
}

Note: LOG_PATH is optional. If not set, logs will be stored in the 'logs' folder under the application root directory.

API Tools

Structure Tools

  1. analyzeExcelStructure
* Function: Get Excel file structure including sheet list and column headers in JSON format
* Parameters: 
  * fileAbsolutePath: Absolute path of the Excel file
  * headerRows: Number of header rows (default: 1)
  1. exportExcelStructure
* Function: Export Excel file structure (sheets and headers) to a new Excel template file
* Parameters: 
  * sourceFilePath: Source Excel file path
  * targetFilePath: Target Excel file path
  * headerRows: Number of header rows (default: 1)

Read Tools

  1. readSheetNames
* Function: Get all sheet names from the Excel file
* Parameters: 
  * fileAbsolutePath: Absolute path of the Excel file
  1. readDataBySheetName
* Function: Get data from a specific sheet in the Excel file
* Parameters: 
  * fileAbsolutePath: Absolute path of the Excel file
  * sheetName: Name of the sheet to read
  * headerRow: Header row number (default: 1)
  * dataStartRow: Data start row number (default: 2)
  1. readSheetData
* Function: Get data from all sheets in the Excel file
* Parameters: 
  * fileAbsolutePath: Absolute path of the Excel file
  * headerRow: Header row number (default: 1)
  * dataStartRow: Data start row number (default: 2)

Write Tools

  1. writeDataBySheetName
* Function: Write data to a specific sheet in the Excel file (overwrites if sheet exists)
* Parameters: 
  * fileAbsolutePath: Absolute path of the Excel file
  * sheetName: Name of the sheet to write
  * data: Array of data to write
  1. writeSheetData
* Function: Create a new Excel file with provided data
* Parameters: 
  * fileAbsolutePath: Absolute path for the new Excel file
  * data: Object containing multiple sheet data

Cache Tools

  1. clearFileCache
    * Function: Clear cached data for the specified Excel file
    * Parameters:
    • fileAbsolutePath: Absolute path of the Excel file to clear from cache

Configuration

  • Cache Configuration

    • Cache expiration time: 1 hour
    • Cache cleanup interval: 4 hours
  • Log Configuration

    • Log retention days: 7 days
    • Cleanup interval: 24 hours

Dependencies

  • @modelcontextprotocol/sdk: ^1.7.0
  • xlsx: ^0.18.5
  • typescript: ^5.8.2

Development Dependencies

  • @types/node: ^22.13.10
  • nodemon: ^3.1.9
  • ts-node: ^10.9.2

License

This project is licensed under the MIT License. This means you are free to:

  • Use the software for commercial or non-commercial purposes

  • Modify the source code

  • Distribute original or modified code Requirements:

  • Retain the original copyright notice

  • No liability can be claimed against the authors for software use For detailed license information,please see the LICENSE file.

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