<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MCP Tools on JAVAPRO International</title><link>https://javapro-en.svenruppert.com/tags/mcp-tools/</link><description>Recent content in MCP Tools on JAVAPRO International</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Wed, 01 Jul 2026 07:00:01 +0000</lastBuildDate><atom:link href="https://javapro-en.svenruppert.com/tags/mcp-tools/index.xml" rel="self" type="application/rss+xml"/><item><title>The 5 Knights of the MCP Apocalypse</title><link>https://javapro-en.svenruppert.com/the-5-knights-of-the-mcp-apocalypse/</link><pubDate>Wed, 01 Jul 2026 07:00:01 +0000</pubDate><guid>https://javapro-en.svenruppert.com/the-5-knights-of-the-mcp-apocalypse/</guid><description>&lt;p&gt;Let&amp;rsquo;s talk about that new &lt;strong&gt;MCP (Model Context Protocol) Server&lt;/strong&gt; your team is using to connect to your real data services. It&amp;rsquo;s awesome, right? It&amp;rsquo;s the &amp;ldquo;magic box&amp;rdquo; that gives your AI Agent access to the &lt;strong&gt;real world&lt;/strong&gt;—live databases, internal APIs, and all your tools.&lt;/p&gt;
&lt;p&gt;But here&amp;rsquo;s the catch: &lt;strong&gt;you don&amp;rsquo;t own the code.&lt;/strong&gt; &lt;/p&gt;
&lt;p&gt;It&amp;rsquo;s a vendor product, an open-source project, or another team&amp;rsquo;s platform. You can&amp;rsquo;t just change its code when you find a security hole, unless you have the code and recompile it and deploy it.&lt;/p&gt;</description></item><item><title>Building MCP Tools (for AI Agents) using Spring AI</title><link>https://javapro-en.svenruppert.com/building-mcp-tools-for-ai-agents-using-spring-ai/</link><pubDate>Wed, 07 Jan 2026 07:00:02 +0000</pubDate><guid>https://javapro-en.svenruppert.com/building-mcp-tools-for-ai-agents-using-spring-ai/</guid><description>&lt;h2 id="introduction"&gt;&lt;strong&gt;Introduction&lt;/strong&gt;&lt;/h2&gt;
&lt;p&gt;The innovation of AI Agents and Agentic AI systems has revolutionized the adoption of Generative AI. Agents empower systems to autonomously achieve goals by performing tasks. &lt;strong&gt;Tools&lt;/strong&gt; are the key building blocks for AI agents that provide them with superior decision-making and implementation capabilities. &lt;strong&gt;Model Context Protocol (MCP)&lt;/strong&gt; protocol has standardized the approach of building tools enabling faster, seamless integration. In this paper, we are going to talk about MCP, the underlying architecture. We will also provide a simple code example of building MCP tools in Java using Spring AI and integrating it with an AI Agent.&lt;/p&gt;</description></item></channel></rss>