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Model Context Protocol (MCP) is quickly becoming a foundational building block for Agentic AI — and it’s changing how large language models interact with real-world tools. In this Code to Care episode, I break down what MCP is, why it matters, and how it simplifies the way AI agents connect to APIs, databases, vendor systems, and even internet resources. We’ll walk through how MCP standardizes tool interactions, supports multi-step agentic workflows, and enables scalable, future-proof AI systems across healthcare and beyond. If you’re building AI-powered applications, exploring agent-based workflows, or preparing for the next wave of intelligent automation, MCP is something you need to understand. Topics covered: • What Model Context Protocol (MCP) is • How MCP enables Agentic AI workflows • Why tool standardization matters at scale • MCP servers, tools, and clients explained simply • How vendors and internet resources plug into MCP Subscribe for more Code to Care videos exploring the intersection of AI, healthcare, and real-world impact. Follow me on LinkedIn: @donwoodlock