# Markdownify

> Use this tool when you need to convert various document formats to Markdown, solving problems of document standardization and compatibility. It takes input formats such as PDF, Word documents, and HTML, and outputs Markdown files, making it ideal for use cases requiring document conversion. It is particularly useful when working with multiple document formats that need to be standardized to Markdown.

Canonical page: https://skillsregistry.net/skills/jdjr2024-markdownify-utf8  
JSON: https://api.skillsregistry.net/v1/skills/jdjr2024-markdownify-utf8

## Description

This MCP server implementation provides a bridge for converting various document formats to Markdown. Developed by quasimodo-XY based on work by @zcaceres, it supports UTF-8 encoding and integrates with the markitdown library. The server offers functionality for handling multiple input formats including PDF, Word documents, and HTML, making it suitable for use cases requiring document conversion and standardization to Markdown format.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jdjr2024-markdownify-utf8)
- **Repository:** <https://github.com/jdjr2024/markdownify-mcp-utf8>

## 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": "jdjr2024-markdownify-utf8"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jdjr2024-markdownify-utf8` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jdjr2024-markdownify-utf8/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
