Model Context Protocol: Advanced Topics

This course teaches you to build Model Context Protocol (MCP) servers and clients with production-ready features. You'll learn to implement sampling—a technique that shifts AI model costs and complexity from servers to clients—and add real-time logging and progress notifications to improve user experience during long-running operations. The course covers roots, MCP's permission system that enables file discovery while maintaining security boundaries. You'll understand the bidirectional communication patterns that make MCP work, including the JSON message types that flow between clients and se…