Spring AI 2.0 marks a significant evolution in enterprise AI agent development, particularly through its support for the Model Context Protocol (MCP). This article provides a detailed walkthrough of building agents that can call tools and communicate via MCP, using Alibaba's Spring AI implementation. The guide includes complete log-level examples, making it valuable for developers transitioning from simple tool-calling patterns to standardized agent communication. Key topics include agent architecture, tool registration, MCP message flow, and error handling. For engineering teams building production AI agents, this represents a practical reference for implementing interoperable agent systems that can work across different AI providers and platforms.
A practical guide to Spring AI 2.0 Agent development covering Tool Calling and MCP protocol with full log-level examples from Alibaba's implementation.