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

The Model Context Protocol gives AI models a standardized way to call your services, read your data, and use your…

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Building an MCP Server Using Python, Docker, and Claude Code

As AI systems evolve from simple text generators to autonomous agents, the need for structured interaction between models and real-world…

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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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Building a Model Context Protocol (MCP) Server with Python

The Model Context Protocol (MCP) provides a structured way for AI models, tools, and external systems to communicate. Instead of…

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Getting Started with the Java Model Context Protocol (MCP) SDK

The rapid growth of AI-powered applications has created a need for standardized ways to connect models with external tools, services,…

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Beyond APIs: The Rise of the Model Context Protocol (MCP)

In recent years, application development has experienced a quiet but fundamental shift. Traditional APIs, once the backbone of interoperability between…

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