Building an AI Chat Agent with MCP, Spring AI

Short summary

Build a stateful AI chat agent using Spring AI, Google Gemini, and Model Context Protocol (MCP) with practical code examples. The architecture includes an MCP tool server exposing real APIs (weather, geocoding), a Spring AI agent orchestrating Gemini with tool calls, and a React UI. MCP serves as a USB-C-style standard interface that eliminates custom glue code between models and tools.

• •MCP acts as a standard interface for connecting AI models to external tools without custom integration code
• •Tutorial covers building a three-tier system: MCP tool server, Spring AI agent, and React frontend
• •Production considerations noted for security (move from shared API key to OAuth2/JWT)

Generated with AI, which can make mistakes.