Hosts: Rohan Venkatram & Cedric Clyburn 👉 What you’ll see in this interactive demo: - How Model Context Protocol (MCP) servers enable AI agents to securely connect to real-world tools, APIs, and enterprise data - What Agentic AI really means — and how Red Hat is building agents that go beyond inference to take action safely - How Red Hat AI enables intelligent, tool-using agents that operate within enterprise guardrails - A live, visual walkthrough of agent workflows powered by Red Hat AI and MCP 💬 Interactive Q&A with Rohan & Cedric 🔗 Join the interactive experience: https://www.redhat.com/architect/portfolio/detail/126-agentic-ai-with-red-hat-mcp-servers-interactive-experience?intcmp=RHCTG0250000458741 🎯 Episode Overview In this episode of Demo Deep Dive, the roles reverse. Rohan Venkatram - Lead for Interactive Demos and Technical Marketing Manager at Red Hat - will be asking the questions. Putting longtime Demo Deep Dive host Cedric Clyburn in the hot seat. Cedric is a Senior Developer Advocate with over five years at Red Hat and is now globally focused on AI and developer advocacy, making him the perfect guide to unpack today’s biggest buzzword: Agentic AI. Together, Rohan and Cedric dive into how Red Hat AI approaches Agentic AI the enterprise way - securely, openly, and with real-world impact. At the heart of this discussion is Model Context Protocol (MCP), which allows AI agents to safely interact with tools, systems, and data instead of stopping at simple model inference. This episode isn’t just about theory. You’ll see how MCP servers extend AI applications into action-oriented agents, while maintaining the governance, security, and flexibility enterprises require. Built on a shared passion for technology, music, and lifestyle - and a belief that demos should be social, visual, and interactive - Demo Deep Dive continues to be a space where complex technology becomes tangible, human, and fun. 🔗 Learn more & explore: 📌 Learn more about Model Context Protocol (MCP) servers on Red Hat AI - https://www.redhat.com/en/products/ai/openshift-ai/mcp-servers?intcmp=RHCTG0250000449876 📌 Explore the Red Hat AI portfolio - https://www.redhat.com/en/products/ai?intcmp=RHCTG0250000449876 📌 Try it yourself with a Red Hat AI trial - https://www.redhat.com/en/products/trials#ai?intcmp=RHCTG0250000449876 📅 Live Stream: Tuesday, January 27 @11:00am ET ▶️ Watch live or on-demand on @RedHat and @OpenShift #RedHat #OpenShiftAI #HybridCloud #AI #Virtualization #kubernetes -- -- -- Timestamps 0:00 Intro 3:15 Demo LLMs to Agents 4:25 LLMs 7:12 Intro to Agents 9:39 Tool Use in Action (Kubernetes Logs 13:57 MCP 16:42 Approach 19:20 Q - Why different models? 23:04 OpenShift MCP Servers 23:34 Guardrails 26:10 Kubernetes MCP Server 27:07 Ansible, RHEL, Lightspeed 28:30 Red Hat's Approach 29:00 MPC Server Demos 30:40 How to get started? 33:00 Outro Chaining Tools into a Workflow Logs look healthy Agent triggers Slack update Multiple tools, one flow Discussion Point 5: Why MCPs Exist: Contrast old integrations vs MCP Unified, standardized approach Discussion Point 6: Enterprise Guardrails Certified MCP servers Controlled access Trusted catalogs Discussion Point 7: Where This Fits MCP as part of OpenShift AI End-to-end agentic platform Discussion Point 8: Across Red Hat and Beyond this Demo MCP + Ansible Automation Platform (Short) MCP + Red Hat Lightspeed (Short)

 231      14