Blog: https://www.confluent.io/blog/ai-agents-using-anthropic-mcp | 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.
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► Blog: Powering AI Agents with MCP & Confluent: https://www.confluent.io/blog/ai-agents-using-anthropic-mcp
► GitHub: Confluent MCP Server: https://github.com/confluentinc/mcp-confluent
► Webinar on MCP & Confluent: https://www.confluent.io/resources/online-talk/ai-agents-with-anthropic-mcp-claude
► Confluent Developer: https://developer.confluent.io
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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Confluent Developer provides comprehensive resources for developers looking to learn about Apache Kafka®, Apache Flink®, Confluent Cloud, Confluent Platform, and any other technology related to the broader Data Streaming Platform. Content on Confluent Developer includes courses, getting started guides, topical deep-dives, patterns, tutorials, and listings of community events. Learn more at https://developer.confluent.io.
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