MCP: Enabling LLMs to interact with real-world Large Language Models (LLMs) have become astonishingly capable - generating code, analyzing documents, and assisting with decision-making. But despite their intelligence, they’ve always had a critical limitation: LLMs cannot reliably interact with real-world systems. They hallucinate API parameters, struggle with strict schemas, and cannot autonomously use tools unless heavily engineered. What the industry needed was a consistent