I delve into the innovative concept of an AI-powered travel agent using Anthropic AI and travel planning services. This session focuses on the creation of personalised itineraries generated from natural language prompt, making travel planning more intuitive and user-friendly. I discuss the past challenges in achieving real-time integration across systems and introduce the Model Context Protocol (MCP) as a breakthrough solution. MCP standardise communication between tools, significantly enhancing the efficiency of AI applications. The demo features an AI agent planning a trip to London, showcasing how MCP enables it to pull live data from multiple sources. This not only illustrates the agent’s capabilities but also highlights the transformative potential of the technology in the real-world.