PyRag is an innovative server designed to combat the persistent problem of outdated knowledge in large language models (LLMs) used by AI coding assistants. By acting as a Model Context Protocol (MCP) server, PyRag delivers real-time, comprehensive, and accurate Python library documentation directly to your AI assistant. This ensures that developers receive up-to-date code examples, API references, and best practices, significantly reducing errors, wasted time, and development slowdowns caused by incorrect or deprecated information.