Tim Berglund is back at the lightboard with *MCP* (Model Context Protocol). MCP really _is_ a big deal, but most people are missing the point. It's not just about enhancing desktop applications with agentic functionality—it's about exposing reusable tools and resources (including real-time data from sources like Apache Kafka) to build _agentic microservices._ Doing this takes us beyond basic LLM chatbots to dynamic, problem-solving systems that deliver real value in real professional settings.

CHAPTERS
00:00 - The need for broader vision with Model Context Protocol (MCP) and agentic AI applications
01:30 - How LLMs work and their limitations in taking actions
03:00 - The importance of tools and resources for agentic behavior
04:30 - MCP architecture: Host app, client library, and...

Tim Berglund is back at the lightboard with *MCP* (Model Context Protocol). MCP really _is_ a big deal, but most people are missing the point. It's not just about enhancing desktop applications with agentic functionality—it's about exposing reusable tools and resources (including real-time data from sources like Apache Kafka) to build _agentic microservices._ Doing this takes us beyond basic LLM chatbots to dynamic, problem-solving systems that deliver real value in real professional settings.

CHAPTERS
00:00 - The need for broader vision with Model Context Protocol (MCP) and agentic AI applications
01:30 - How LLMs work and their limitations in taking actions
03:00 - The importance of tools and resources for agentic behavior
04:30 - MCP architecture: Host app, client library, and server
06:30 - Example: Building an agentic appointment scheduling app
09:00 - Workflow: Prompting, accessing resources, and invoking tools

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