PDF MCP is an open-source Model Context Protocol (MCP) server and tool enabling AI agents and users to perform advanced retrieval-augmented generation (RAG) operations across entire PDFs or folders of PDFs. It provides robust hybrid (semantic + BM25) search, selective page reading, accurate extraction of tables, charts, and scanned text (including OCR and multi-column or vertical layouts), and can be integrated into Claude Desktop, Python environments, or accessed via HTTP. PDF MCP is ideal for users and developers needing programmatic, context-efficient, and high-fidelity PDF interaction and semantic search for automation, research, and AI agent workflows.
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