MCP, AgentCore, and ADK Demystified for Java Developers: The New Period of Agentic AI
Coming from a strong Java and microservices history , I have actually always comprehended systems through the lens of structures, protocols, and orchestration layers– like Springtime Boot, REST, and Kubernetes.
When I started working with Agentic AI systems just recently, I recognized that a lot of the concepts and patterns felt acquainted (like things I ‘d currently seen before in software program growth), but the general modern technology and devices are still brand-new.
Ideas like MCP (Model Context Procedure) , AWS AgentCore , and Google ADK advised me of exactly how Java evolved from spread RPC phones call to Peaceful microservices with proper frameworks and orchestration.
It clicked: structure and scaling AI representatives today is a great deal like developing dispersed systems prior to HTTP ended up being the standard.
In this article, I’ll draw parallels in between Java microservices and multi-agent AI designs — so designers coming from a typical backend globe can instantly associate with what’s occurring in this brand-new Agentic AI landscape.
What This Write-up Covers
- Exactly how MCP acts as the HTTP/REST of the Agentic AI world