nutrient-pdf-mcp-server

The Nutrient PDF MCP Server is a specialized tool designed to facilitate the exploration and analysis of PDF documents using the Model Context Protocol (MCP). It provides a robust framework for investigating PDF object trees with lazy loading support, allowing Language Model Models (LLMs) to efficiently navigate and analyze PDF structures without exceeding token limits. This server is particularly useful for applications that require detailed PDF document analysis, such as data extraction, document indexing, and content summarization. By leveraging lazy loading, the server minimizes the amount of data processed at any given time, ensuring that only the necessary parts of a PDF are loaded and analyzed. This approach not only conserves computational resources but also enhances the speed and efficiency of PDF document processing. The server's architecture is built around a set of core components, including a parser for PDF object trees, a server implementation for handling MCP requests, and a suite of tools for navigating and resolving PDF objects. With comprehensive type safety and error handling, the Nutrient PDF MCP Server offers a reliable and efficient solution for PDF document analysis.