# PDF to Markdown Converter

> Use this tool when you need to convert complex PDF documents into editable Markdown text, preserving the original structure and making content more accessible. It solves problems in content migration, documentation workflows, and PDF editing, taking PDF files as input and producing clean Markdown text as output. Ideal for use cases where PDF content needs to be repurposed or rewritten, such as documentation updates or content reuse.

Canonical page: https://skillsregistry.net/skills/futureunreal-pdf2md  
JSON: https://api.skillsregistry.net/v1/skills/futureunreal-pdf2md

## Description

PDF to Markdown Conversion Service provides a bridge to the MinerU API for converting PDF documents to Markdown format. This implementation uses the Model Context Protocol to expose PDF conversion capabilities, allowing users to transform complex PDF documents into clean, editable Markdown text while preserving the document structure. The service handles API authentication, file processing, and stores converted files in a configurable output directory, making it valuable for content migration, documentation workflows, and making PDF content more accessible and editable.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/futureunreal-pdf2md)
- **Repository:** <https://github.com/futureunreal/mcp-pdf2md>

## 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": "futureunreal-pdf2md"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/futureunreal-pdf2md` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/futureunreal-pdf2md/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