# MD-DOCX Converter

> Use this tool when you need to convert Markdown files to Word documents (.docx) or vice versa, solving formatting inconsistencies and compatibility issues between the two formats. It takes in Markdown or .docx files as input and outputs the converted file, preserving styles, tables, lists, and images. Ideal for users who require seamless document conversion without relying on cloud uploads, running entirely on their local machine using Python.

Canonical page: https://skillsregistry.net/skills/cjwpenner-md-docx-converter  
JSON: https://api.skillsregistry.net/v1/skills/cjwpenner-md-docx-converter

## Description

Bidirectional Markdown ↔ Word (.docx) converter. Read Word documents directly into Claude as Markdown, or save Claude's output as a properly formatted .docx with heading styles (Title, Heading 1–9), bold, italic, tables, lists, code blocks, and images. No cloud upload — runs entirely on your machine using python.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-07-05

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lqfuvfb2j6)
- **Repository:** <https://github.com/cjwpenner/md-docx-converter>

## 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": "cjwpenner-md-docx-converter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cjwpenner-md-docx-converter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cjwpenner-md-docx-converter/pull`

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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