# PDF Reader

> Use this tool when you need to extract content from PDF files, whether protected or unprotected, to analyze documents, index content, or extract data. It provides functionality to read and parse PDFs, handle password-protected documents, and format extracted content. Ideal for workflows requiring PDF parsing and text extraction, such as document analysis or data extraction from PDF sources.

Canonical page: https://skillsregistry.net/skills/algonacci-unlock-pdf  
JSON: https://api.skillsregistry.net/v1/skills/algonacci-unlock-pdf

## Description

This MCP server implementation provides functionality to read and extract content from both protected and unprotected PDF files. It offers tools for reading PDFs, handling password-protected documents, and formatting the extracted content as resources. The server is designed to be integrated into workflows that require PDF parsing and text extraction, making it useful for document analysis, content indexing, or data extraction from PDF sources.

## 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/algonacci-unlock-pdf)
- **Repository:** <https://github.com/algonacci/mcp-unlock-pdf>

## 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": "algonacci-unlock-pdf"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/algonacci-unlock-pdf` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/algonacci-unlock-pdf/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