Model Context Protocol(MCP) in C#

Dive into the world of LLM integrations with this practical C# course! Discover how to build a minimal Model Context Protocol (MCP) server and client from the ground up. This hands-on experience is ideal for C# developers eager to understand how large language models (LLMs) like Claude seamlessly interact with external tools and services using the MCP protocol.

We'll guide you through the entire process, starting with a simple SSE (Server Sent Events) MCP server. Then, you'll develop a lightweight client to connect and communicate with it. Next, we'll upgrade both the client and server to fully adhere to the MCP standard, leveraging JSON-RPC and SSE communication for efficient data exchange.

To bring your application to life, we'll integrate Semantic Kernel to infuse AI capabilities, providing a deep understanding of why MCP was created and how it functions. You'll gain a comprehensive grasp of the full request-response flow, the structure of MCP messages, and the dynamic client-server interaction.

No complex setup is needed! Easily code along with each lesson using the provided links or your preferred IDE.

By the end of this course, you'll possess a fully functional MCP example and the expertise to develop more sophisticated integrations for your own tools, bots, or AI services.

What You’ll Learn:

• MCP Fundamentals: Understand how MCP works and its significance in modern LLM integrations.
• Server Development: Build an MCP-compliant server using SSE in C# from scratch.
• Client Communication: Master sending JSON-RPC messages from a minimal client.
• Core MCP Commands: Handle essential requests like initialize, resources, and tools.
• Best Practices: Learn best practices and explore next steps toward full MCP compliance.
• Semantic Kernel Integration: Effectively use MCP with Semantic Kernel to enhance your AI applications.
• Modern Workflow: Integrate with latest MCP Servers in your coding workflow.

Who This Course Is For:

• C# developers exploring LLM integrations.
• Beginners seeking to learn about protocol design.
• Developers building tools or services that connect to AI via MCP.