Model Context Protocol (MCP) with C# | AI Agents & GitHub Copilot | Season of AI

In this Season of AI session, a deep dive into Model Context Protocol (MCP) — a powerful open standard shaping the future of AI agents and agentic systems.

This session explains why MCP was created, what problems it solves, and how it standardizes the way AI models connect with tools, APIs, databases, and enterprise systems.

What You’ll Learn in This Session:
• What is Model Context Protocol (MCP) and why it matters
• Evolution of AI agents: from LLMs → tools → agentic workflows
• Problems with traditional tool integrations before MCP
• MCP architecture: Client, Server, Tools, Resources & Prompts
• MCP primitives explained with real examples
• How MCP enables secure, scalable, and reusable AI integrations
• Difference between knowledge sources vs tools/actions
• Orchestration, memory, and governance in AI agents

Live Demo (Hands-On):
• Build a Hello World MCP Server using C# & .NET
• Create and expose custom MCP tools
• Configure MCP using mcp.json
• Run MCP server locally using Visual Studio Code
• Connect MCP Server with GitHub Copilot
• Execute AI-driven tool calls (echo, reverse text, GUID generation, math operations)
• Understand tool chaining and agent decision-making

🔗 Let’s connect:
LinkedIn –   / siddharthvaghasia  

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