Mirantis Launches MCP AdaptiveOps to Accelerate Enterprise Adoption of Agentic Infrastructure

Provides future proof foundation for building and operating Model Context Protocol servers at enterprise scale

CAMPBELL, Calif.--(BUSINESS WIRE)--Mirantis, the Kubernetes-native AI infrastructure company enabling enterprises to build and operate scalable, secure, and sovereign AI systems across any environment, today announced the launch of MCP AdaptiveOps, giving engineering teams a safe and reliable way to build and operate Model Context Protocol (MCP) servers now, while ensuring interoperability and compliance as the MCP ecosystem evolves.

MCP AdaptiveOps provides a future-proof framework that abstracts away uncertainty in today’s fast-moving ecosystem of registries, gateways, and LLM routers, accelerating delivery of MCP servers that are production-ready, backed with expected service levels, and adaptable to whatever standards and components emerge as the Model Context Protocol matures.

More than 40% of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value or inadequate risk controls, according to Gartner, Inc., which recommends in this early stage, agentic AI only be pursued where it delivers clear value or ROI.

“MCP is rapidly becoming the standard for connecting enterprise services into agentic infrastructure, but the ecosystem is still shifting,” said Randy Bias, vice president of open source strategy and technology at Mirantis. “Mirantis historically helped customers successfully adopt and succeed with open source projects like Kubernetes and OpenStack – maintaining the right balance of opinionated productization and flexibility at the early stages of the adoption curve. MCP AdaptiveOps gives engineering teams the confidence to build today without locking themselves into fragile assumptions about tomorrow. We provide the reliability and flexibility needed to accelerate adoption even as standards take shape.”

With MCP AdaptiveOps, Mirantis delivers:

• Audits of existing MCP servers, with recommendations to align them with external and enterprise ecosystems;
• Green field builds of new MCP servers, leveraging clean abstractions to remain adaptable as components change;
• Operational support and SLAs, ensuring MCP servers are stable, secure, and continuously evolving alongside the ecosystem.

For more information on Mirantis MCP AdaptiveOp go here and read the blog post, Securing Model Context Protocol for Mass Enterprise Adoption.

About Mirantis

Mirantis delivers the fastest path to enterprise AI at scale, with full-stack AI infrastructure technology that removes GPU infrastructure complexity and streamlines operations across the AI lifecycle, from Metal-to-Model. Today, all infrastructure is AI infrastructure, and Mirantis provides the end-to-end automation, enterprise security and governance, and deep expertise in Kubernetes orchestration that organizations need to reduce time to market and efficiently scale cloud native, virtualized, and GPU-powered applications across any environment – on-premises, public cloud, hybrid or edge.

Mirantis serves many of the world’s leading enterprises, including Adobe, Ericsson, Inmarsat, MetLife, PayPal, and Societe Generale. Learn more at www.mirantis.com.

Mirantis is a registered trademark of Mirantis, Inc. Metal-to-Model is a trademark of Mirantis, Inc. All other trademarks are the property of their respective owners.