Explore the Spring AI MCP annotations to significantly lower the barrier to entry for building agentic AI systems.

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Spring AI's Model Context Protocol (MCP) module provides annotation-based programming for connecting AI models to external data and tools. The framework offers three core annotations: @McpTool for exposing Java methods as AI-callable functions, @McpResource for providing read-only data access via URI templates, and @McpPrompt for defining reusable prompt templates. The implementation uses standard Spring patterns with POJOs and Records, supports complex objects and binary data, and communicates via Standard Input/Output when running locally. Configuration requires adding Spring Milestone/Snapshot repositories, the spring-ai-starter-mcp-server dependency, and specific application properties to disable console logging for proper protocol communication.

Overview of MCP Annotations in Spring AI