How AI Agents Discover & Use MCP - Tools Discovery, Selection & Invocation Explained | Step-by-Step

How AI Agents Discover and Use MCP Tools | Model Context Protocol Explained | Tool Discovery, Selection & Invocation Explained | Step-by-Step AI Agents don't magically know how to interact with Salesforce, MuleSoft, SAP, Workday, or your enterprise APIs. So how do they discover and use these tools? In this video, you'll learn how the Model Context Protocol (MCP) enables AI agents like Claude to dynamically discover available tools, understand their schemas, select the right tool for a user's request, invoke enterprise systems, and transform structured data into natural language responses. Using practical e-commerce examples, I'll walk you through the complete MCP lifecycle so you can understand what happens behind the scenes every time an AI agent performs an action. What You'll Learn 🔹 What the Model Context Protocol (MCP) is 🔹 MCP Architecture Explained 🔹 How AI Agents Discover Available Tools 🔹 Understanding Tool Schemas 🔹 Dynamic Tool Selection 🔹 Tool Invocation Process 🔹 Why MCP Matters for Enterprise AI 🎥 Next Video This video covers the concepts. In the next tutorial, we'll build a complete MuleSoft MCP Server, expose MuleSoft APIs as MCP tools, connect it to Claude Desktop, and watch AI discover and invoke those tools in real time. Subscribe so you don't miss it! 💬 If you have questions or would like additional details, leave a comment and I'll be happy to help.