What you will learn

• Explain the architecture, components, and use cases of the Model Context Protocol (MCP), and how it differs from traditional APIs and tool calling

• Build and run MCP servers using FastMCP, configuring tools, resources, and prompts to support AI applications such as retrieval-augmented generation

• Develop MCP clients that connect to single and multiple servers using STDIO and Streamable HTTP for structured, context-aware LLM interactions

• Implement secure, interactive MCP workflows by applying sampling, roots, and permission-based user-approval mechanisms for multi-agent applications