Building MCP Tools (for AI Agents) using Spring AI

Wed, 07 Jan 2026 07:00:02 +0000

Introduction

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. Tools are the key building blocks for AI agents that provide them with superior decision-making and implementation capabilities. Model Context Protocol (MCP) 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.

Solutions to achieve desired results from Generative AI Models

Wed, 10 Dec 2025 07:00:03 +0000

Rise of Generative AI

Generative AI (GenAI) has gained significant prominence in the last couple of years. This technological breakthrough has created the possibility of integrating various innovative use cases into applications across domains. Organizations of all sizes, small and large, have started exploring, experimenting and adopting GenAI. Tools, frameworks and platforms are rapidly evolving and allow application developers to easily integrate GenAI capabilities into their existing applications or to build new innovative applications leveraging GenAI. There are lots of options available – GenAI capabilities available as services, foundation models, open-source models and model provider platforms that allow hosting of models.

Generative AI on JAVAPRO International

Building MCP Tools (for AI Agents) using Spring AI

Introduction

Solutions to achieve desired results from Generative AI Models

Rise of Generative AI