Artificial intelligence systems are evolving rapidly, and so are the tools that connect them to the real world. As large language models (LLMs) like ChatGPT, Claude, and Gemini become more capable, the need for a standard way to let these models interact safely with external data sources, APIs, and applications has become urgent. That’s where the Model Context Protocol (MCP) comes in. Think of it as a universal translator for AI, a common language that allows different AI applications to communicate seamlessly with databases, APIs, and digital tools through modular, secure connections known as MCP servers.
