As Artificial Intelligence evolves from simple chat interfaces to highly capable, autonomous agents, developers need a standardized way to securely connect these models to real-world data. The Model Context Protocol (MCP) is the definitive architecture for bridging the gap between Large Language Models and your enterprise backend.
In this comprehensive, step-by-step masterclass, you will learn how to build and test robust MCP servers and clients entirely within the C# ecosystem. This course provides the exact blueprints required to turn your existing C# logic into intelligent, AI-accessible tools.
What You Will Learn:
- Server Fundamentals & Tool Creation: Start by building a pure C# MCP console server. Learn to instantly expose your backend functions to AI models using [McpServerToolType] and [McpServerTool] attributes.
- Advanced Tooling & Integration: Master attribute-based discovery and the [AllowedValues] attribute to strictly control AI behavior. Securely connect your MCP tools to external APIs and live databases.
- Rapid Debugging: Isolate and test your backend logic seamlessly using the official browser-based MCP Inspector tool before ever connecting a live AI.
- Dynamic Context Engineering: Go beyond tools by implementing static Resources and highly Dynamic Prompts. Learn the architectural secrets of combining tools and prompts in a single session to give your AI both the exact data it needs and the ability to act on it.
- AI Agent Orchestration: Build highly resilient MCP clients and intelligent AI agents orchestrated by the state-of-the-art Microsoft Agent Framework.






