PDF Action Inspector

A Model Context Protocol (MCP) server for extracting and analyzing JavaScript Actions from PDF files. This tool provides structured access to PDF Actions data for security analysis and research purposes.

What is PDF Action Inspector?

PDF Action Inspector is an MCP server that extracts JavaScript Actions embedded in PDF documents. It's designed to work with MCP-compatible clients (such as Claude Desktop) and hosts that support the Model Context Protocol, allowing you to analyze PDF files using natural language queries.

Features

• PDF Action Extraction: Extract JavaScript Actions from document, page, annotation, and field levels
• Structured Analysis: Apply security policies to identify potentially suspicious patterns
• Password Support: Handle encrypted PDF files
• Comprehensive Coverage: Analyze forms, annotations, and embedded scripts

Installation

Quick Start with uvx (Recommended)

uvx pdf-action-inspector

This automatically downloads and runs the MCP server without permanent installation.

Traditional Installation

pip install pdf-action-inspector

Setup for MCP Clients

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "pdf-action-inspector": {
      "command": "uvx",
      "args": ["pdf-action-inspector"]
    }
  }
}

Or if you installed via pip:

{
  "mcpServers": {
    "pdf-action-inspector": {
      "command": "pdf-action-inspector",
      "args": []
    }
  }
}

Other MCP Clients

For other MCP-compatible hosts and clients, configure the server using the appropriate method for your client. The server uses STDIO transport and requires no additional arguments.

Usage

After setup, you can use natural language to analyze PDFs through your MCP client:

Extract all JavaScript Actions from this PDF: /path/to/document.pdf
Analyze the security implications of Actions in this file: /path/to/suspicious.pdf

Available MCP Tools

Security Analysis

The tool applies security policies to identify patterns such as:

• JavaScript code execution
• Form field manipulation
• Network requests
• File system access attempts
• Suspicious user interactions

Use Cases

• Security Research: Extract and analyze PDF Actions for research
• Document Analysis: Understand PDF structure and embedded scripts
• Educational: Learn about PDF security mechanisms
• Forensics: Investigate PDF-based incidents

Requirements

• Python 3.10+
• PyPDF2 for PDF parsing
• FastMCP for MCP protocol support

License

MIT License

Support

GitHub Repository