Building MCP Clients with Spring AI: Augmenting LLMs with Custom Context
Learn how to build MCP (Model Context Protocol) clients using Spring AI to augment Large Language Models with custom context and functionality for your applications.
Writing on software development and anything else I find interesting.
All of my long-form thoughts on programming, content creation, and more, collected in chronological order.
Filtering by tag: Spring AI
My CYC 2025 Demo: Why Building MCP Servers in Java Just Got Ridiculously Simple
Learn how Spring AI 1.1.0-M2 makes building MCP servers in Java incredibly simple with just annotations. No callbacks, no complex setup. Includes complete code from my Commit Your Code 2025 conference demo, showing how to expose your Java application's data to Claude and other AI assistants.
Running AI Models Locally with Docker and Spring AI
Master Docker Desktop's revolutionary Model Runner feature and discover how to build privacy-first AI applications with Spring Boot. This complete tutorial shows you how to run powerful open-source AI models like Gemma locally on your machine, eliminating API costs, protecting sensitive data, and simplifying development workflows. You'll get step-by-step instructions...
Supercharge Your LLM Applications with Model Context Protocol (MCP)
Learn how Model Context Protocol (MCP) enables LLMs to access external data sources and tools, with practical implementation guides for getting started today.
Understanding Tokens in Large Language Models with Spring AI
Learn how to track and manage token usage in Spring AI applications, including implementing custom response types and automated logging with AOP.