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Learn how to extend your AI agent's capabilities by creating and connecting a custom Model Context Protocol (MCP) server using Visual Studio Code's AI Toolkit extension. Discover the fundamentals of how tools work within agent workflows, master the process of registering custom tools, and integrate your own logic seamlessly into agent operations. Explore the MCP Python SDK and follow along as you build a practical custom server from scratch. Master the environment setup process for agent communication, then run and debug your custom server using the Agent Builder interface. Gain hands-on experience with the MCP Inspector for comprehensive debugging and troubleshooting. This tutorial provides step-by-step guidance through the entire development process, from initial setup through final implementation and testing of your custom MCP server integration.
