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aigroup-mdtoword-mcp

v4.0.3

Published

Professional Markdown to Word document converter with MCP protocol support - Advanced styling, mathematical formulas, tables, and complete document layout. 支持本地 Markdown 到 Word 文档转换,最新 MCP 协议特性、完整的页眉页脚页码功能、增强的表格功能、数据导入和数学公式支持,修复本地相对路径图片嵌入问题

Readme

AI Group Markdown to Word MCP Server

License: MIT Node.js Version MCP Protocol

A comprehensive Model Context Protocol (MCP) server for converting Markdown documents to professional Word documents with advanced formatting, styling, and layout capabilities.

🌟 Features

Core Conversion

  • Full Markdown Support: Complete Markdown syntax including headings, paragraphs, lists, tables, code blocks, and blockquotes
  • Advanced Styling System: Comprehensive style configuration with themes, templates, and custom styling
  • Professional Document Layout: Page setup, margins, orientation, and document structure

Advanced Features

  • Mathematical Formulas: LaTeX math formula support with inline and block rendering
  • Table Processing: Advanced table styling with 12+ preset styles, CSV/JSON data import
  • Image Support: Local and remote image embedding with automatic scaling and formatting
  • Mermaid Diagrams: Render ```mermaid code blocks into diagram images embedded in DOCX, with safe fallback to code blocks if rendering fails
  • Header & Footer: Complete header/footer system with page numbers, total pages, and custom content
  • Table of Contents: Automatic TOC generation with configurable levels and styling
  • Watermarks: Text watermarks with configurable position, rotation, and transparency

MCP Integration

  • Multiple Transports: Support for STDIO and Streamable HTTP transports
  • Tool-based Interface: Clean MCP tool interface for document conversion
  • Resource Templates: Pre-built document templates for various use cases
  • Prompt System: Intelligent prompts for user guidance and troubleshooting

HTTP API & OpenAI Plugin Support

  • Dual API Support: Both MCP protocol and simplified HTTP API endpoints
  • OpenAI Plugin Compatible: Full OpenAI plugin specification support
  • RESTful Endpoints: Simple REST API for easy integration
  • OpenAPI Specification: YAML and JSON API documentation available

🚀 Quick Start

Installation

# Using npx (recommended for one-time use)
npx -y aigroup-mdtoword-mcp

# Or install globally
npm install -g aigroup-mdtoword-mcp

Usage with Claude Desktop

Add to your Claude Desktop configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "markdown-to-word": {
      "command": "npx",
      "args": ["-y", "aigroup-mdtoword-mcp"]
    }
  }
}

Usage with Other MCP Clients

{
  "mcpServers": {
    "markdown-to-word": {
      "command": "uvx",
      "args": ["aigroup-mdtoword-mcp"]
    }
  }
}

🛠️ Available Tools

markdown_to_docx

Convert Markdown content to Word document with full styling support.

Input Schema:

{
  markdown?: string;           // Markdown content (required if inputPath not provided)
  inputPath?: string;          // Path to Markdown file
  filename: string;            // Output filename (without extension)
  outputPath?: string;         // Custom output directory
  styleConfig?: StyleConfig;   // Advanced styling configuration
}

Example Usage:

Convert this markdown to a Word document:

# Project Report
## Executive Summary
This is a sample report with **bold text** and *italic text*.

- Feature 1: Complete Markdown support
- Feature 2: Advanced styling system
- Feature 3: Professional document layout

| Column 1 | Column 2 | Column 3 |
|----------|----------|----------|
| Data 1   | Data 2   | Data 3   |
| Data 4   | Data 5   | Data 6   |

Mathematical formula: $E = mc^2$

Mermaid Example

# System Flow

```mermaid
flowchart TD
  A[Start] --> B{Check input}
  B -->|Valid| C[Generate DOCX]
  B -->|Invalid| D[Return error]
```

Mermaid fenced code blocks are rendered into diagram images in the generated Word document. If rendering fails in the current environment, the content safely falls back to a normal code block.

table_data_to_markdown

Convert structured data (CSV/JSON) to formatted Markdown tables.

Input Schema:

{
  data: string;                // CSV or JSON data
  format: 'csv' | 'json';      // Data format
  style?: string;              // Table style preset
  hasHeader?: boolean;         // Whether data includes headers
}

📚 Available Resources

Templates

  • template://customer-analysis - Business analysis report template
  • template://academic - Academic paper template
  • template://business - Professional business report
  • template://technical - Technical documentation
  • template://minimal - Clean minimal template

Style Guides

  • style-guide://quick-start - Quick styling reference
  • style-guide://advanced - Advanced styling options
  • style-guide://templates - Template usage guide

Performance Metrics

  • metrics://conversion-stats - Conversion performance data
  • metrics://memory-usage - Memory usage statistics

🎨 Styling System

Basic Styling

{
  document: {
    defaultFont: "宋体",
    defaultSize: 24,
    defaultColor: "000000",
    page: {
      size: "A4",
      orientation: "portrait",
      margins: { top: 1440, bottom: 1440, left: 1440, right: 1440 }
    }
  },
  headingStyles: {
    h1: { font: "黑体", size: 64, color: "000000", bold: true },
    h2: { font: "黑体", size: 32, color: "000000", bold: true }
  }
}

Advanced Features

  • Theme System: Color and font variables for consistent branding
  • Header/Footer: Custom headers and footers with page numbers
  • Watermarks: Text watermarks for document protection
  • Table Styling: 12+ preset table styles with zebra striping
  • Mathematical Formulas: Professional math formula rendering

📊 Table Styles

The server includes 12 professionally designed table styles:

  1. minimal - Clean modern style with thin borders
  2. professional - Business style with dark headers
  3. striped - Zebra striping for better readability
  4. grid - Complete grid borders for structured data
  5. elegant - Double borders for formal documents
  6. colorful - Colorful headers for vibrant presentations
  7. compact - Minimal margins for data-dense tables
  8. fresh - Green theme for environmental reports
  9. tech - Blue tech theme for technical documents
  10. report - Formal report style with double borders
  11. financial - Right-aligned numbers for financial data
  12. academic - Academic paper style

🔧 Configuration

Style Configuration

Full style configuration supports:

  • Document-level settings (fonts, colors, page setup)
  • Paragraph and heading styles
  • Table and list formatting
  • Image and code block styling
  • Header/footer configuration
  • Watermark settings

Transport Options

  • STDIO: Standard input/output for local execution
  • Streamable HTTP: HTTP transport for remote servers

📁 Project Structure

src/
├── index.ts                 # Main MCP server implementation
├── converter/
│   └── markdown.ts         # Markdown to DOCX converter
├── template/
│   └── presetLoader.ts     # Template system
├── types/
│   ├── index.ts           # Core types
│   ├── style.ts          # Style configuration types
│   └── template.ts       # Template types
└── utils/
    ├── tableProcessor.ts  # Table processing utilities
    ├── mathProcessor.ts   # Mathematical formula processing
    ├── imageProcessor.ts  # Image handling utilities
    ├── styleEngine.ts     # Style application engine
    └── errorHandler.ts    # Error handling utilities

🧪 Testing

Run the test suite:

npm test

Available test scenarios:

  • Mathematical formula conversion
  • Local image embedding
  • Mermaid diagram rendering
  • Page numbering and headers/footers
  • Table styling and data import
  • Complete document conversion

🚀 Performance

  • Fast Conversion: Optimized processing for large documents
  • Memory Efficient: Stream-based processing for minimal memory usage
  • Production Ready: Robust error handling and logging
  • Scalable: Handles documents of any size efficiently

🤝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests
  5. Submit a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

☁️ Cloudflare Worker Deployment

This project supports deployment to Cloudflare Workers. Follow these steps to deploy:

Prerequisites

  1. Install Node.js (version >= 18.0.0)
  2. Install Wrangler CLI: npm install -g wrangler
  3. Login to Cloudflare: wrangler login

Deployment Steps

  1. Update wrangler.toml with your account ID:

    [env.production]
    account_id = "your-account-id-here"  # Replace with your Cloudflare account ID
  2. Deploy to Cloudflare Workers:

    wrangler deploy

API Endpoints

After deployment, your service will be accessible via:

  • https://your-worker.your-subdomain.workers.dev/ - Main info page
  • https://your-worker.your-subdomain.workers.dev/health - Health check
  • https://your-worker.your-subdomain.workers.dev/mcp - MCP protocol endpoint
  • https://your-worker.your-subdomain.workers.dev/convert - Simplified HTTP API
  • https://your-worker.your-subdomain.workers.dev/.well-known/ai-plugin.json - OpenAI plugin manifest
  • https://your-worker.your-subdomain.workers.dev/openapi.yaml - OpenAPI specification (YAML)
  • https://your-worker.your-subdomain.workers.dev/openapi.json - OpenAPI specification (JSON)
  • https://your-worker.your-subdomain.workers.dev/logo.png - Plugin logo

For detailed deployment instructions, see docs/DEPLOYMENT_INSTRUCTIONS.md.

📞 Support


AI Group Markdown to Word MCP Server - Professional document conversion powered by MCP protocol.