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  3. Aigroup Mdtoword MCP
Aigroup Mdtoword MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 8:41:00 PM

Aigroup Mdtoword MCP

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
View Repository13 GitHub StarsTotal stargazers on GitHub for the source repository (13 stars).Visit Website

本地 Markdown 到 Word 文档转换工具,支持最新 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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "aigroup-mdtoword-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "aigroup-mdtoword-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing Alternatives💻 More in Developer Tools

Documentation Overview

AI Group Markdown to Word MCP Server

License: MIT Node.js MCP Protocol Version

Professional Markdown-to-Word conversion over MCP, with advanced styling, tables, formulas, images, Mermaid rendering, and HTTP deployment support.

Overview

aigroup-mdtoword-mcp is an MCP server for generating professional .docx documents from Markdown content.

It is designed for:

  • converting Markdown into structured Word documents
  • applying reusable templates and styling presets
  • rendering tables, formulas, images, and Mermaid diagrams
  • exposing both MCP and simplified HTTP endpoints
  • integrating with Claude Desktop and other MCP-compatible clients

Highlights

  • Markdown to DOCX conversion with document styling and layout control
  • Advanced formatting for headings, tables, lists, code blocks, and blockquotes
  • Math support for inline and block formulas
  • Image embedding for local and remote assets
  • Mermaid rendering with safe fallback to code blocks
  • Header / footer / page numbering / watermark support
  • Template, resource, and prompt support for guided usage
  • HTTP deployment options including Cloudflare Worker workflows

Quick Start

Requirements

  • Node.js >= 18
  • npm >= 8

Run with npx

Terminal
npx -y aigroup-mdtoword-mcp

Install locally

bash
git clone https://github.com/jackdark425/aigroup-mdtoword-mcp.git
cd aigroup-mdtoword-mcp
npm install
npm run build
npm start

MCP Client Configuration

Claude Desktop / compatible MCP clients

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

Local build output

config.json
{
  "mcpServers": {
    "markdown-to-word": {
      "command": "node",
      "args": ["/path/to/aigroup-mdtoword-mcp/dist/index.js"]
    }
  }
}

Tools

markdown_to_docx

Converts Markdown content or a Markdown file into a .docx document.

Typical inputs include:

  • markdown
  • inputPath
  • filename
  • outputPath
  • styleConfig

table_data_to_markdown

Converts CSV or JSON tabular data into formatted Markdown tables.

Typical inputs include:

  • data
  • format
  • style
  • hasHeader

Resources

Templates

  • template://customer-analysis
  • template://academic
  • template://business
  • template://technical
  • template://minimal

Style Guides

  • style-guide://quick-start
  • style-guide://advanced
  • style-guide://templates

Metrics

  • metrics://conversion-stats
  • metrics://memory-usage

Styling Capabilities

The styling system supports:

  • document-level fonts, colors, and page layout
  • heading and paragraph styles
  • table presets and formatting
  • image sizing and placement
  • code block styling
  • headers, footers, page numbers, and watermarks

Included table styles cover common business, academic, financial, technical, and minimal report layouts.

Example

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

Deployment

HTTP server

Terminal
npm run server:http

Cloudflare Worker

Terminal
npm install -g wrangler
wrangler login
wrangler deploy

Related endpoints typically include:

  • /health
  • /mcp
  • /convert
  • /.well-known/ai-plugin.json
  • /openapi.yaml
  • /openapi.json

See detailed guidance in docs/DEPLOYMENT_INSTRUCTIONS.md.

Project Structure

text
src/
├── index.ts
├── converter/
├── template/
├── types/
└── utils/

Development

Terminal
npm run build
npm test

Additional test commands:

  • npm run test:math
  • npm run test:images
  • npm run test:pages
  • npm run test:mermaid

License & Usage

This project is released under the MIT License.

In practical terms, MIT allows you to:

  • use this project in personal, internal, academic, or commercial scenarios
  • copy, modify, merge, publish, and distribute the code
  • build proprietary or open-source products on top of it
  • ship derivative works as long as the required copyright and license notice is preserved

Please keep in mind:

  • you must retain the original copyright notice and MIT license text in copies or substantial portions of the software
  • the software is provided "AS IS", without warranty of any kind
  • if you package this project into hosted services, desktop tools, plugins, or internal workflows, you are responsible for your own compliance, security review, and downstream usage constraints

See the full text in LICENSE.

Acknowledgments

Core Dependencies & Ecosystem

  • Model Context Protocol SDK

    • Repository: https://github.com/modelcontextprotocol/servers
    • Role: MCP server protocol integration
  • docx by Dolan Miu

    • Repository: https://github.com/dolanmiu/docx
    • Role: core Word document generation engine

Community Inspiration

  • Inspired by the broader MCP community and ecosystem

Support

  • Issues: https://github.com/jackdark425/aigroup-mdtoword-mcp/issues
  • Documentation: https://github.com/jackdark425/aigroup-mdtoword-mcp/tree/main/docs
  • Examples: https://github.com/jackdark425/aigroup-mdtoword-mcp/tree/main/examples

Read the full README →View source on GitHub →

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Reviews

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Frequently Asked Questions about Aigroup Mdtoword MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "aigroup-mdtoword-mcp": { "command": "npx", "args": ["-y", "aigroup-mdtoword-mcp"] } }

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Technical Specs & Signals

Category💻Developer Tools
More technical detailsExpand ▾
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars13
GitHub Star CountTotal stargazers on GitHub representing community popularity (13 stars).
39Quality signal: Fair · 39/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity3/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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