<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AI, Spring on Adrien CAUBEL</title><link>https://blog.adriencaubel.fr/series/ai-spring/</link><description>Recent content in AI, Spring on Adrien CAUBEL</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 16 Aug 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.adriencaubel.fr/series/ai-spring/index.xml" rel="self" type="application/rss+xml"/><item><title>Spring MCP Server and Client</title><link>https://blog.adriencaubel.fr/posts/ai/spring_mcp/</link><pubDate>Sat, 16 Aug 2025 00:00:00 +0000</pubDate><guid>https://blog.adriencaubel.fr/posts/ai/spring_mcp/</guid><description>Tip GitHub project : https://github.com/adrien1212/spring-mcp-demo Introduction Link to heading Model Context Protocol (MCP) is a standard way for AI apps and agents to talk to external capabilities—databases, APIs, file systems, SaaS apps—without custom wiring each time. Instead of baking ad-hoc HTTP calls into your prompts, MCP gives you a consistent handshake to discover what capabilities are available, for exemple &amp;ldquo;Create a new Client&amp;rdquo;
With MCP, you don’t manually hit REST endpoints.</description></item></channel></rss>