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Mirantis, a provider of Kubernetes-native infrastructure for AI, has announced its MCP AdaptiveOps services portfolio. These services are designed to help organizations implement the Model Context Protocol (MCP) for agentic infrastructure, offering guidance ranging from initial assessments to full-scale design, development, and operational management of AI-native systems.
Mirantis launches a new professional services portfolio: MCP AdaptiveOps services.
Services help enterprises implement the Model Context Protocol (MCP) for agentic AI.
Offerings range from 2-day readiness assessments to 16-week platform implementations.
The services build upon Mirantis's open-source MCP AdaptiveOps framework launched in September.
Focus is on ensuring interoperability, compliance, and future-proof architecture.
Aim is to navigate the fast-evolving MCP ecosystem and accelerate production-ready deployments.
The announcement comes as governance of the Model Context Protocol transitions to the open-source community, a move expected to accelerate its adoption and development. Mirantis positions its services as essential guidance during this "nascent stage" of MCP technology. The core objective is to help enterprises build around open standards with a flexible architecture that can adapt as the underlying technology and ecosystem of registries, gateways, and LLM routers continue to evolve rapidly.
These new services extend the MCP AdaptiveOps framework that Mirantis introduced in late September. That framework is designed as a production-ready methodology for engineering teams to build and operate MCP servers safely, ensuring interoperability and compliance. The professional services now provide the expert implementation and strategic planning to apply that framework effectively within enterprise environments, abstracting away technical uncertainty.
The MCP AdaptiveOps services are structured as a graduated set of engagements to meet organizations wherever they are in their adoption journey. The portfolio includes a quick Agentic Readiness Assessment, hands-on Engineering Bootcamps, and focused MCP Server Development projects. For more comprehensive deployments, it offers longer engagements for AI Risk & Compliance alignment and full Agentic Platform Design & Implementation, which covers multi-tenancy, governance, observability, and LLM integration.
“With MCP governance transitioning to the open source community, we expect even more rapid adoption and accelerated development of the technology,” said Randy Bias, vice president of open source strategy and technology at Mirantis. “So, at this nascent stage of AI and MCP technology, we’re applying our expertise to help enterprises at whatever level is needed from getting started to full implementations. Our adaptable approach helps enterprises navigate the chaos by building around open standards and a flexible architecture that can accommodate changes as technology evolves.”
The launch of MCP AdaptiveOps services represents a critical step in maturing the agentic AI infrastructure market. By providing expert services atop an open framework, Mirantis is addressing the significant operational gap between the promise of agentic AI and the practical challenge of building scalable, governable, and future-proof systems within enterprise IT environments.
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.
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