SpringTutorials
    Spring AI Tutorials
    Tutorial 06

    Mastering the Model Context Protocol (MCP)

    Deep dive into MCP architecture, communication flow, Spring AI integration, and debugging with MCP Inspector

    What You'll Learn

    6 sections on mastering the Model Context Protocol

    Why MCP Exists

    MCP Architecture Explained

    MCP Communication Flow

    Building an MCP Client with Spring AI

    MCP Client–Server Integration Demo

    MCP Inspector – Deep Observability for MCP

    1
    Why MCP Exists

    1.1

    The Problem MCP Solves in AI Integrations

    Understand the challenges of connecting LLMs to external tools and data sources that MCP addresses.

    1.2

    Why Traditional Prompting Isn't Enough

    Learn why prompt stuffing and manual context injection don't scale for complex AI integrations.

    Coming Soon

    Detailed content with code examples, architecture diagrams, and live demos is being prepared.

    2
    MCP Architecture Explained

    2.1

    Core Components of the Model Context Protocol

    Explore the fundamental building blocks: hosts, clients, servers, and context providers.

    2.2

    How Clients, Servers, and Context Providers Work Together

    Understand the relationships and communication patterns between MCP components.

    Coming Soon

    Detailed content with code examples, architecture diagrams, and live demos is being prepared.

    3
    MCP Communication Flow

    3.1

    How MCP Exchanges Context Behind the Scenes

    Trace the data flow from context request to response injection.

    3.2

    Request, Response, and Context Injection Lifecycle

    Understand the complete lifecycle of an MCP interaction from start to finish.

    Coming Soon

    Detailed content with code examples, architecture diagrams, and live demos is being prepared.

    4
    Building an MCP Client with Spring AI

    4.1

    Creating an MCP Client Using Spring AI

    Step-by-step guide to building an MCP client that connects to MCP servers.

    4.2

    Connecting LLMs to External Tools and Context Sources

    Enable your AI application to leverage external data and capabilities via MCP.

    Coming Soon

    Detailed content with code examples, architecture diagrams, and live demos is being prepared.

    5
    MCP Client–Server Integration Demo

    5.1

    End-to-End Integration of MCP Client and MCP Server

    Complete walkthrough of connecting an MCP client to a server in a real application.

    5.2

    Live Demo: Context-Aware AI in Action

    See MCP in action with a working demonstration of context-enhanced AI responses.

    Coming Soon

    Detailed content with code examples, architecture diagrams, and live demos is being prepared.

    6
    MCP Inspector – Deep Observability for MCP

    6.1

    Introducing MCP Inspector: The X-Ray Tool for MCP Servers

    Discover the powerful debugging and inspection tool for MCP interactions.

    6.2

    Debugging, Tracing, and Validating MCP Interactions

    Learn to use MCP Inspector for troubleshooting and optimizing your MCP setup.

    Coming Soon

    Detailed content with code examples, architecture diagrams, and live demos is being prepared.

    What You'll Master

    MCP Purpose & Benefits

    Why MCP exists and what problems it solves

    MCP Architecture

    Clients, servers, and context providers

    Communication Flow

    Request/response and context injection

    Spring AI Integration

    Building MCP clients with Spring AI

    End-to-End Demo

    Complete client-server integration

    MCP Inspector

    Debugging and observability tools

    💬 Comments & Discussion