Why MCP really is a big deal | Model Context Protocol with Tim Berglund
Confluent Developer
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A channel for developers, by developers. Confluent Developer provides comprehensive resources for developers looking to learn about Apache Kafka®, Apache Flink®, Confluent Cloud, Confluent Platform, and other technologies 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. More at https://developer.confluent.io. Confluent, founded by the original creators of Apache Kafka®, enables organizations to harness business value of live data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large volume data integration to big data analysis with Hadoop to real-time stream processing.
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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. LEARN MORE ► 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 CONNECT Subscribe, if you dare: https://www.youtube.com/@ConfluentDeveloper?sub_confirmation=1 Community Slack: https://confluentcommunity.slack.com X: https://x.com/confluentinc Linkedin: https://www.linkedin.com/company/confluent GitHub: https://github.com/confluentinc Site: https://developer.confluent.io ABOUT CONFLUENT DEVELOPER 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. #modelcontextprotocol #confluent #apachekafka
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