# antiquarIO

> antiquarIO — jcarrascof-antiquario. Use this tool when you need to convert unstructured documents into organized Markdown files while maintaining privacy, as it locally parses PDFs and images using multiple OCR engines. It solves problems of document clutter and information extraction, providing a structured output for further analysis. The antiquarIO tool accepts PDFs and images as input and outputs structured Markdown, ideal for use cases involving data extraction, RAG workflows, and version control with git.

Canonical page: https://skillsregistry.net/skills/jcarrascof-antiquario  
JSON: https://api.skillsregistry.net/v1/skills/jcarrascof-antiquario

## Description

A privacy first (local) document parsing tool and MCP server — convert PDFs and images to structured Markdown using multiple selectable OCR engines. Includes Streamlit GUI and hierarchical chunking for RAG workflows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/JCarrascoF/antiquarIO)

## 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": "jcarrascof-antiquario"
    }
  }
}
```

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

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