Convert Markdown to DOCX with Templates
Convert Markdown text to DOCX files with custom templates and multi-language support, directly from Claude or Cherry Studio.
Why it matters
Automate the conversion of Markdown documents to DOCX format, supporting custom templates and multilingual content. This asset integrates with external conversion services to streamline document generation.
Outcomes
What it gets done
Convert Markdown to DOCX
Apply custom templates during conversion
Support for multilingual document conversion
Manage and view available conversion templates
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-md2doc | bash Capabilities
Tools your agent gets
Converts markdown text to DOCX format with optional custom templates
Retrieves available templates organized by language
Overview
Md2doc MCP Server
md2doc converts Markdown text into DOCX documents via the DeepShare API, supporting custom templates and multiple languages, with results saved locally or returned as a download link on cloud deployments. Use it when an AI assistant needs to produce a DOCX file from Markdown content. Requires a DeepShare API key (a free trial key is available); not applicable for output formats other than DOCX.
What it does
md2doc is an MCP server that converts Markdown text into DOCX (Word) documents using an external conversion service (DeepShare), supporting custom templates and multiple languages, with the resulting file automatically downloaded to the user's Downloads directory (or a temporary download link when run on a cloud server).
When to use - and when NOT to
Use it when you want an AI assistant to turn Markdown output - a report, article, or document draft - into a properly formatted DOCX file, optionally using a custom template and in a specific language (English, Chinese, and others). Do not use it if you don't have a DeepShare API key (a free trial key is provided for testing) or need output formats other than DOCX - this server is scoped specifically to Markdown-to-DOCX conversion.
Capabilities
convert_markdown_to_docx: convert Markdown text to a DOCX file, with parameters includingcontent,filename,language,template_name,remove_hr, andcompat_mode.list_templates: list available conversion templates by language.
Programmatic usage is also available directly in Python:
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}")
asyncio.run(convert_markdown())
How to install
uvx md2doc
# or with an API key
DEEP_SHARE_API_KEY="your-api-key-here" uvx md2doc
Register with Claude Desktop or Cherry Studio:
{
"mcpServers": {
"md2doc": {
"command": "uvx",
"args": ["md2doc"],
"env": { "DEEP_SHARE_API_KEY": "your-api-key-here" }
}
}
}
A free trial API key (f4e8fe6f-e39e-486f-b7e7-e037d2ec216f) is available for testing; paid keys can be purchased from DeepShare. When deploying on a cloud server (VPS/Docker), set MCP_SAVE_REMOTE=true so the server returns a temporary download link instead of saving to a local directory.
Who it's for
Writers, analysts, and developers who want an AI assistant to produce ready-to-share Word documents from Markdown output instead of manually converting or reformatting text.
Source README
md2doc - Markdown to DOCX MCP Server
A Model Context Protocol (MCP) server that converts Markdown text to DOCX format using an external conversion service.
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
- Open Cherry Studio
- Go to Settings → MCP
- Add the server configuration:
{ "mcpServers": { "md2doc": { "command": "uvx", "args": ["md2doc"], "env": { "DEEP_SHARE_API_KEY": "your-api-key-here" } } } }
Claude Desktop
Open your Claude Desktop configuration file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
Add the md2doc server:
{ "mcpServers": { "md2doc": { "command": "uvx", "args": ["md2doc"], "env": { "DEEP_SHARE_API_KEY": "your-api-key-here" } } } }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
Available Tools
convert_markdown_to_docx: Convert markdown text to DOCXlist_templates: Get available templates by language
FAQ
Common questions
Discussion
Questions & comments · 0
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