md2doc - Markdown to DOCX MCP Server

A Model Context Protocol (MCP) server that converts Markdown text to DOCX format using an external conversion service.

<img src="https://raw.githubusercontent.com/Yorick-Ryu/md2doc-mcp/master/images/md2doc.png" alt="md2doc Demo" width="600" style="max-width: 100%; height: auto;">

Features

• Convert Markdown text to DOCX format
• Support for custom templates
• Multi-language support (English, Chinese, etc.)
• Automatic file download to user's Downloads directory
• Template listing and management

Usage

Cherry Studio

1. Open Cherry Studio
2. Go to Settings → MCP
3. Add the server configuration:

   {
     "mcpServers": {
       "md2doc": {
         "command": "uvx",
         "args": ["md2doc"],
         "env": {
           "DEEP_SHARE_API_KEY": "your-api-key-here"
         }
       }
     }
   }

Claude Desktop

1. Open your Claude Desktop configuration file:
   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json
2. Add the md2doc server:

   {
     "mcpServers": {
       "md2doc": {
         "command": "uvx",
         "args": ["md2doc"],
         "env": {
           "DEEP_SHARE_API_KEY": "your-api-key-here"
         }
       }
     }
   }

3. Restart Claude Desktop

Command Line (Quick Start)

For immediate use without any client setup:

# Install and run the server
uvx md2doc

# Or with environment variable
DEEP_SHARE_API_KEY="your-api-key-here" uvx md2doc

Python Integration

You can also use md2doc directly in your Python projects:

import asyncio
from md2doc.api_client import ConversionAPIClient
from md2doc.models import ConvertTextRequest

async def convert_markdown():
    client = ConversionAPIClient()
    
    request = ConvertTextRequest(
        content="# Hello World\n\nThis is **markdown** content.",
        filename="example",
        language="zh",
        template_name="templates",
        remove_hr=False,
        compat_mode=True
    )
    
    response = await client.convert_text(request)
    if response.success:
        print(f"File saved to: {response.file_path}")

# Run the conversion
asyncio.run(convert_markdown())

Other MCP Clients

The server works with any MCP-compatible client. Configure it to run:

uvx md2doc

With environment variables:

DEEP_SHARE_API_KEY="your-api-key-here" uvx md2doc

Cloud Deployment (Remote Server)

When deploying this MCP server on a cloud server (VPS/Docker), set MCP_SAVE_REMOTE=true to return a temporary download link instead of saving to a local directory:

# In your cloud environment
export DEEP_SHARE_API_KEY="your-api-key-here"
export MCP_SAVE_REMOTE=true

uvx md2doc

The server will provide a download link for the converted document.

API Key

Free Trial API Key

Use this key for testing:

f4e8fe6f-e39e-486f-b7e7-e037d2ec216f

Purchase API Key

• Purchase Link
• 中国大陆购买

License

MIT