PDF Mcp

PDF Mcp

Surgical, AI-friendly PDF access: search, extract, and process only what matters.

Visit PDF Mcp

About PDF Mcp

PDF Mcp is a Model Context Protocol (MCP) server designed to deliver precise PDF access for AI agents. It enables capabilities like semantic and keyword-based hybrid search, page-specific reading, OCR for scanned documents, structured extraction of tables and images, and content-trust features such as hidden/injected text detection. It supports efficient token usage by letting agents skim, search, and extract only the needed information, and is highly suitable for AI applications, tool developers, and teams integrating intelligent document processing into their workflows.

Pricing Plans
Open Source
$0

Resources

GitHub Issues

Community support and discussions related to PDF Mcp, where users can ask questions and report issues.

Join the community →

Example Usage

Explore example use cases and code snippets to understand how to implement PDF Mcp in your projects.

Read examples →

Product Website

Visit PDF Mcp's official website for product details and getting started.

Visit website →