Beyond local tools: Deep dive into MCP with Spring AI by James Ward / Maximilian Schellhorn

This talk delves into the Model Context Protocol (MCP), a standard that enhances how AI applications interact with external data and tools. The speaker explores advanced MCP architectures with Spring AI, discussing the differences between local and remote server deployments, as well as hosting and scaling strategies for remote MCP servers. The session also covers MCP gateways that unify access and proxy existing systems, along with key authorization patterns and features like resources, prompts, sampling, and elicitation. Attendees will acquire practical insights into the implementation and architectural trade-offs necessary for developing MCP-enabled AI systems.