Spring AI 2.0 + MCP: Building a Tool-Calling Agent in 50 Lines

Spring AI 2.0-M6, shipped May 8, 2026, is the milestone where building an MCP tool-calling agent in Java stops feeling…

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Spring AI Explainable Agents: Capture LLM Tool Call Reasoning

Explainable AI agents aim to make the decision-making process of large language models (LLMs) transparent, especially when tools are invoked…

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MCP for Backend Developers: Build Your First Server

The Model Context Protocol is quickly becoming the de-facto standard for AI tool integration — and the official Java SDK…

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Spring AI: Testing MCP Tools

Testing Model Context Protocol (MCP) tools in Spring AI is essential to ensure that tools are correctly registered, discoverable, and…

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MCP for Java Developers: A Practical Tutorial With Spring AI and the MCP Java SDK

The Model Context Protocol finally gives Java a universal plug for AI. Here is how to wire up your first…

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Spring AI Guide to MCP Elicitations

As AI systems become more interactive, handling incomplete or ambiguous user input becomes critical for building reliable applications. MCP elicitations…

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A Guide to Using Recursive Advisors in Spring AI

AI applications often require iterative interactions with language models to refine outputs, execute tools, or validate responses. Instead of manually…

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Spring AI 1.1 and theModel Context Protocol:Building Production AI AgentsWithout the Python Tax

Spring AI 1.0 shipped in May 2025. The 1.1 follow-up added full MCP integration, 20+ AI model backends, and a…

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Spring Boot 4, Spring AI, and AI-First Java Development

Jakarta EE 11, built-in API versioning, full modularisation, and LLM integration are all here now. Not on a roadmap —…

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