The Model Context Protocol (MCP) is an open standard designed to connect AI models with real-world data and tools, ensuring secure and standardized access to external resources like local files and cloud services. By creating a universal language between AI systems and development tools, MCP aims to enhance AI applications from isolated systems to context-aware assistants, enabling functionalities such as reading code, managing databases, and sending messages to team members. The protocol is structured into three phases—Initialization, Operation, and Shutdown—ensuring reliable and predictable behavior across implementations. MCP supports various communication methods, including stdio and SSE, allowing flexibility in data transmission. Its integration capabilities are demonstrated through practical use cases like GitHub and Supabase, facilitating tasks such as managing code repositories and database updates while maintaining context across different services. As more tools adopt MCP, it promises a future where AI assistants can seamlessly work across platforms, handle complex tasks, and adapt to new tools, offering a robust and integrated development experience.