Overview
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Explore advanced architectures and implementation strategies for the Model Context Protocol (MCP) in this 51-minute conference talk from Devoxx. Learn how MCP standardizes connections between AI applications and external data sources, moving beyond basic local experiments to sophisticated deployment patterns. Discover the differences between local and remote server deployments, examine hosting and scaling strategies for remote MCP servers, and understand how MCP gateways can unify access while proxying to existing systems. Dive into authorization patterns and explore key MCP features including resources, prompts, sampling, and elicitation techniques. Gain practical insights into real-world implementations, understand architectural trade-offs, and learn essential infrastructure considerations for building robust MCP-enabled AI systems at scale.
Syllabus
Beyond local tools: Deep dive into the MCP by James Ward, Maximilian Schellhorn
Taught by
Devoxx