# pdf-decompiler-mcp

> pdf-decompiler-mcp — noobieisgod-pdf-decompiler-mcp. Use this tool when you need to extract structured data from PDFs, turning unstructured content into usable text, tables, and metadata for AI agents to process. It solves the problem of information extraction from PDFs, improving data quality and reducing token costs. Ideal for use cases where PDF content needs to be selectively retrieved and analyzed by MCP-compatible AI agents.

Canonical page: https://skillsregistry.net/skills/noobieisgod-pdf-decompiler-mcp  
JSON: https://api.skillsregistry.net/v1/skills/noobieisgod-pdf-decompiler-mcp

## Description

A MCP that turns PDFs into structured text, tables, figures, metadata, annotations, and page-level evidence for selective retrieval by MCP-compatible AI agents. Improves the information quality AI agents receive while also reducing token costs in some scenarios.

## Trust

- **Trust score (0–1):** 0.47
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/noobieisgod/pdf-decompiler-mcp)

## 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": "noobieisgod-pdf-decompiler-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/noobieisgod-pdf-decompiler-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/noobieisgod-pdf-decompiler-mcp/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
