How to create an AI agent in Java: Spring AI + MCP integration
Summary
This article explains how to build an AI agent in Java using Spring AI and MCP. It compares Java and Python approaches, then walks through practical implementation patterns for tool calling, resource exposure, prompts, and error handling. It also covers Spring AI 2.0 changes, MCP transport options, security considerations such as OAuth and RBAC, and observability best practices. The piece positions Java and the Spring ecosystem as a viable stack for enterprise agentic AI projects.
Classifications
industries
Entertainment
applications
Accounting and Taxes
AI Classifications
Labels
Infrastructure Software
Enterprise Software
Cybersecurity Software
Linked Companies
Broadcom Inc.
$50M to $100M
Oracle
$1B+
Google LLC
$100M to $250M
Discord
$500M to $1B
OpenAI
$25M to $50M
Anthropic
$10M to $25M
SourceCraft
n/a