Learn Microsoft AI presents a hands-on tutorial for developers on building an MCP Server and seamlessly integrating it with Semantic Kernel, highlighting practical AI development using Microsoft technologies.

How to Build an MCP Server and Connect It to Semantic Kernel: Full Tutorial

Author: Learn Microsoft AI

Overview

This tutorial provides a detailed walkthrough for developers interested in building smarter, context-aware AI applications using Model Context Protocol (MCP) and Microsoft’s Semantic Kernel. The video covers setting up an MCP Server, understanding how MCP enables dynamic context interaction, and integrating a Semantic Kernel Client.

What You’ll Learn

  • Introduction to MCP (Model Context Protocol):
    • Understand what MCP is and why it’s relevant to modern AI applications.
    • Learn how AI models benefit from dynamic, real-time context.
  • Setting Up an MCP Server:
    • Step-by-step guidance for creating your own MCP Server from scratch.
    • Key configuration points and best practices.
  • Connecting Semantic Kernel Client:
    • Instructions to seamlessly connect a Semantic Kernel Client to your MCP Server.
    • Tips for working with context providers and leveraging Semantic Kernel features.
  • Building Dynamic AI Applications:
    • Examples of how real-time context enhances AI flexibility and awareness.
    • Strategies for integrating MCP and Semantic Kernel into broader development workflows.

Benefits of MCP and Semantic Kernel

  • Improved AI application adaptability
  • Flexible integration with various context sources
  • Enhanced development experience with Microsoft’s Semantic Kernel

Resources

Tags

MCP, Semantic Kernel, Semantic Kernel Client, Microsoft, AI Development, OpenAI, Programming, Server Setup, Context Providers, Real-Time Context, Dynamic Applications, Tutorial, AI Integration, Microsoft AI

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