As the Model Context Protocol (MCP) rapidly becomes a foundational standard for connecting large language models (LLMs) with real-world applications, developers are discovering new ways to harness agentic AI for end-to-end automation. This session will demonstrate how MCP empowers AI agents to securely orchestrate the entire API lifecycle—from requirements gathering and code generation to deployment, observability, and monitoring—using open standards and open-source tools.