As artificial intelligence continues to grow more advanced—especially with the rapid rise of Large Language Models (LLMs)—there’s been a persistent roadblock: how to connect these powerful AI models to the massive range of tools, databases, and services in the digital world without reinventing the wheel every time. Traditionally, every new integration—whether it's a link to an API, a business application, or a data repository—has required its own unique setup. These one-off, custom-built connections are not only time-consuming and expensive to develop, but also make it incredibly hard to scale up when things evolve. Imagine trying to build a bridge for every single combination of AI model and tool. That’s what developers have been facing—what many call the "N by N problem": integrating n LLMs with m tools requires n × m individual solutions. Not ideal. That’s where the Model Context Protocol (MCP) steps in. Introduced by Anthropic in late 2024, MCP is an open standa...