KubeCon + CloudNativeCon Europe 2026 Co-located Event Deep Dive: Agentics Day: MCP + Agents

Who will get the most out of attending this event? What is new and different this year? What will the day look like? Should I do any homework first? Find your community! Posted on February 20, 2026 by Co-chairs Manik Surtani & Varun Talwar Agentic systems are rapidly moving from experimentation into real production workloads. Cloud native teams are now being asked to connect models to real tools, data, and workflows in reliable, secure ways—without relying on brittle, one-off integrations. As MCP emerges as a shared, interoperable layer under vendor-neutral stewardship, Agentics Day provides a focused space for the community to exchange real-world implementations and shape best practices while the ecosystem is still evolving. Platform, SRE, and infrastructure teams who expect to operate or secure agentic capabilities will find this event especially valuable. Protocols like MCP sit at the boundary between models and sensitive systems, making operational practices, governance, and security considerations critical early on. Builders creating agents, tool servers, and internal integrations will also benefit. A shared protocol model promises “build once, integrate across clients,” reducing the need to maintain vendor-specific connectors. Open source maintainers and contributors interested in shaping how this layer evolves under neutral governance will find a meaningful opportunity to participate in defining interoperability patterns and shared conventions as standards mature. Agentics Day is intentionally narrow and deep. Rather than covering the full spectrum of Kubernetes and cloud native topics, it concentrates specifically on the practical deployment of agents and the emerging infrastructure that supports them. With MCP and related building blocks moving under vendor-neutral stewardship, this is a pivotal moment for coordination. The event focuses not just on what agentic systems are, but on how to implement them responsibly and effectively in production environments while governance and operating patterns are still being defined.