Full Stack • Java • System Design • Cloud • AI Engineering

Model Context Protocol

MCP fundamentals, clients, servers, tools, resources, prompts, Java servers, Spring AI integration, and enterprise MCP architecture.

MCP fundamentals, clients, servers, tools, resources, prompts, Java servers, Spring AI integration, and enterprise MCP architecture.

Start with the first article and continue in order. This page defines the Previous and Next flow for every article in this subcategory.

Learning Path

  1. MCP Introduction
  2. MCP Architecture
  3. MCP Client
  4. MCP Server
  5. MCP Tools
  6. MCP Resources
  7. MCP Prompts
  8. Building An MCP Server In Java
  9. Spring AI With MCP
  10. Enterprise MCP Architecture
  1. Read the lessons in order from top to bottom.
  2. Build a small example for the concepts that include implementation work.
  3. Capture design decisions, risks, and production checks as you move forward.
  4. Return to the AI Learning Path when this module is complete.

Outcome

By the end of Model Context Protocol, you should understand the module vocabulary, architecture tradeoffs, production concerns, and how this section connects to the broader AI roadmap.

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