Accelerate PDF document processing for AI agents by extracting text, images, and metadata with parallel execution and precise content ordering.
PDF Reader is a production-ready Model Context Protocol (MCP) server designed to provide AI agents with high-performance PDF processing capabilities. It addresses the limitations of traditional sequential PDF processing by offering 5-10x faster parallel execution, Y-coordinate based content ordering for natural reading flow, and robust error resilience. Built with TypeScript and boasting over 94% test coverage, this tool ensures reliable extraction of text, images, and metadata from both local files and URLs, making it an essential component for any AI agent requiring efficient and accurate PDF comprehension.