In the rapidly evolving world of AI and large language models (LLMs), context management is becoming a cornerstone for building smarter, more efficient, and reliable applications. Enter MCP (Model Context Protocol) — a protocol designed to help developers and systems define, organize, and control the context passed into AI models. In this post, we’ll explore what MCP is, how it works, and real-world use cases that demonstrate its value.