The podcast introduces the Model Context Protocol (MCP), an open standard protocol designed to enhance AI systems by enabling them to interact with external tools. It addresses the limitations of AI, such as hallucination and generic responses, by providing AI agents with necessary context and tooling. Katie Hockman explains that MCP allows AI models to communicate with external resources, using the example of creating a Kubernetes issue via a GitHub MCP server. She highlights the Go team's development of an official Go SDK for MCP servers and clients, and demonstrates building an MCP server that interfaces with the GopherCon agenda, showing how it improves the AI's ability to provide accurate and detailed information. The goal is to empower developers to build custom capabilities for their IDEs using Go and MCP.
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