SUSE Rancher Prime’s AI Crew Now Connects to Your External Data Sources via MCP

Following its recent multi-agent expansion, SUSE Rancher Prime’s AI Assistant, Liz, can now integrate external Model Context Protocol (MCP) servers directly into its AI crew. This means any MCP server becomes a member of the AI Crew and enterprises can connect Liz to the data sources they already rely on, from project management tools like Atlassian to internal infrastructure documentation, and turn them into active AI agents within the Rancher interface. This innovative feature allows enterprises to empower Liz with their own critical data sources, transforming Liz into a truly customizable and contextually aware AI Agent Crew for Kubernetes and cloud-native operations.

Your stack built into specialized crew

Early adopters of Liz consistently praised its ability to contextualize Rancher and Kubernetes information directly in the UI. But the early adopter program also surfaced a clear pattern –platform administrators wanted Liz to go deeper. They wanted to connect it to their architecture documentation, networking plans, and storage strategies. What teams really want is an AI that can follow a problem across every layer of the stack, not just the ones inside Rancher.

With external MCP integration, that’s exactly what Liz can do. Picture this: a platform engineer reports that a cloud-native application isn’t responding. Liz starts by troubleshooting the workload in Rancher, then dives into the underlying SUSE Linux Enterprise node to gather deeper insight. It discovers a blocking firewall rule, and from there it can either create a Jira ticket to request the change or connect directly to a Firewall MCP server to resolve it on the spot. One conversation, every layer, from application to OS to external tooling. That’s end-to-end operational intelligence.

This new release directly addresses this demand by enabling the configuration of external MCPs. Enterprises can now integrate the MCP servers they already rely on, allowing Liz to query and act upon this third-party data and services without the need for complex, custom integration code. 

This capability provides Liz with an unprecedented level of contextual awareness, making its recommendations and actions even more precise and relevant to an organization’s specific infrastructure.

SUSE Rancher AI Assistant External MCP configuration

Any MCP server becomes a member of the AI Crew

The real power of this innovation lies in its ability to expand an organization’s “Platform Central Brain” through Liz’s enhanced MCP. By turning any trusted third-party MCP server into an active AI agent within Liz’s crew, enterprises gain a dynamic and intelligent interface to their entire operational landscape. Liz can now leverage a broader spectrum of information to proactively assist Platform Engineers, reducing cognitive load and accelerating decision-making.

SUSE Rancher AI Assistant External MCP answers

Toward the largest cloud-native agentic ecosystem

This release is part of a broader strategy. Just as SUSE built open ecosystems with the Partner Catalog and Application Collection for software distribution, the MCP integration lays the foundation for an open agentic ecosystem.

For engineering leaders, this shifts the economics of AI adoption. Instead of building custom integrations for every data source, teams configure MCP connections through a standard interface and let the routing layer handle the rest. The cognitive load on platform engineers drops further with every new agent added to the crew.

“Our vision for Liz is to be an indispensable extension of an enterprise’s operational intelligence.” said Jean-Philippe Gouin, Product Manager. “By enabling the integration of external MCPs, we’re opening up a new model for how AI assists in complex, multi-faceted environments. Liz is evolving into a truly adaptive part of the enterprise operational fabric, learning and growing with every unique deployment.”

Configure It Today in SUSE Rancher Prime

External MCP integration is available now for SUSE Rancher Prime customers with the AI Assistant enabled. Administrators can add external MCP servers through Global Settings > AI Assistant > AI Agents. Each external agent supports configurable endpoints, authentication types (including Basic authentication), Human Validation Tools for action approval, and custom behavioral guidelines that can be imported from Markdown files.

See the MCP Integration Live at KubeCon EU

Visit the SUSE booth at KubeCon EU 2026 in Amsterdam to see Liz query external MCP servers in real time. The team will demo live integrations with Atlassian and other third-party sources, showing how the AI crew extends beyond the Rancher platform into your full operational stack. Bring your use case and we’ll show you how to wire it up.

Come see us at KubeCon EU in Amsterdam

Visit the SUSE booth, join our sessions, and experience firsthand what an AI-native cloud native platform can do for your organization.

For the latest updates, visit suse.com/kubecon and follow us on social media throughout the week.