Model Context Protocol: Advanced Features
 

Agentic AI workflows demand more from MCP than simple tool calling-reliable transports, richer client capabilities, and custom workflow servers that coordinate multiple agents and systems.
What you'll learn
Agentic AI workflows demand more from MCP than simple tool calling-reliable transports, richer client capabilities, and custom workflow servers that coordinate multiple agents and systems. In this course, Model Context Protocol: Advanced Features, you'll learn to build production-ready MCP capabilities suited for real enterprise environments. First, you'll explore MCP networking and how to work with reverse proxies and gateways to improve client compatibility. Next, you'll discover advanced client features, including elicitations, sampling, completions, and subscriptions. Finally, you'll learn how to build custom clients and workflow servers that orchestrate multi-step, multi-agent tasks. When you're finished with this course, you'll have the skills and knowledge of advanced MCP patterns needed to build powerful clients, extend the protocol safely, and orchestrate real-world agentic workflows.