# io.github.jackdark425/aigroup-mdtoword-mcp

> Use this tool when you need to convert Markdown files to Word documents locally, with support for advanced features like headers, footers, page numbers, tables, data import, and mathematical formulas. It solves problems related to document conversion, formatting, and compatibility, especially with the latest MCP protocol features. The tool takes Markdown files as input and produces Word documents as output, making it ideal for users who require precise control over document formatting and layout.

Canonical page: https://skillsregistry.net/skills/io-github-jackdark425-aigroup-mdtoword-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-jackdark425-aigroup-mdtoword-mcp

## Description

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

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 4.0.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.jackdark425%2Faigroup-mdtoword-mcp)
- **Repository:** <https://github.com/jackdark425/aigroup-mdtoword-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-jackdark425-aigroup-mdtoword-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-jackdark425-aigroup-mdtoword-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-jackdark425-aigroup-mdtoword-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt