We are thrilled to announce that Kubermatic has joined the newly formed Agentic AI Foundation (AAIF) as a founding Silver Member.
Launched today under the Linux Foundation, the AAIF is dedicated to building a neutral, open ecosystem for the next generation of artificial intelligence: Agentic AI. By joining forces with industry leaders in this initiative, Kubermatic is doubling down on our commitment to open standards and the evolution of infrastructure automation.
Why the Agentic AI Foundation?
For years, Kubermatic has operated on a simple yet powerful premise: Power through automation. We believe that to manage the exploding complexity of cloud-native, edge, and multi-cloud environments, we must move beyond manual operations.
However, the industry is now standing at a new threshold. We are transitioning from automated systems (which follow pre-defined scripts) to agentic systems (which can reason, plan, and act autonomously to solve problems).
The AAIF provides the governance, neutrality, and shared infrastructure needed to ensure these powerful new agents are developed transparently and securely. As a company that has always championed open source (from KubeOne to the Kubermatic Kubernetes Platform), we believe the future of AI must be as open as the future of Kubernetes.
The Game Changer: Model Context Protocol (MCP)
A primary reason for our excitement about the AAIF is its support for the Model Context Protocol (MCP), one of the foundation’s initial and most critical projects.
For those unfamiliar, MCP is an open standard that acts as a universal translator between AI models and external systems. Until now, connecting an LLM to your infrastructure required building custom, brittle integrations for every single tool.
Here is why MCP is critical for the future of Kubernetes and Infrastructure Operations:
Standardized Context: MCP allows us to expose the rich context of your infrastructure - cluster health, resource usage, logs, and network policies - to AI agents in a standardized format. The agent doesn’t just “guess”; it reads the actual state of the world through a reliable protocol.
From Chatbots to Operators: With MCP, AI moves beyond being a passive chatbot that answers questions. It becomes an active operator. An MCP-enabled agent can securely query a Kubermatic cluster, identify a failing node, and, with proper permissions, execute the specific API calls to drain and replace that node.
Breaking Down Silos: In a multi-cloud environment, data is scattered across AWS, Azure, on-prem, and edge locations. MCP provides a unified way for agents to access this distributed context without us having to reinvent the wheel for every new AI model that hits the market.
The Vision: AI-Native Infrastructure
At Kubermatic, we see a future where Kubernetes platforms are not just managed by humans with scripts, but by intelligent agents that understand the intent behind the infrastructure.
Imagine an environment where your platform doesn’t just alert you to an error, but autonomously investigates the root cause using real-time data and drafts a remediation plan for your approval. This is the promise of Agentic AI.
By joining the AAIF, we are ensuring that the standards enabling this future are built with the rigorous needs of enterprise infrastructure in mind: security, reliability, and scale.
We look forward to collaborating with the Linux Foundation and our fellow members to build the open standard for the agentic web.
Learn more about the Agentic AI Foundation at and explore the Model Context Protocol.
