Mirantis Launches Services to Tame Enterprise Agentic AI Chaos

CAMPBELL, CA – December 16, 2025 – Mirantis, a company specializing in Kubernetes-native AI infrastructure, today announced the launch of its MCP AdaptiveOps services. The new offering is designed to guide enterprises through the turbulent waters of deploying and operating agentic AI systems built upon the rapidly emerging Model Context Protocol (MCP).

As businesses race to harness the power of autonomous AI agents, they face a landscape fraught with complexity, security risks, and a bewildering pace of technological change. Mirantis aims to provide a structured pathway through this environment, offering a suite of services that range from initial strategic assessments to the full design, construction, and operation of enterprise-grade, AI-native platforms.

The Rise of Agentic AI and the MCP Standard

The technology industry is in the throes of a major shift toward agentic AI—systems capable of autonomous decision-making and task execution without continuous human oversight. From automating complex business workflows to powering sophisticated research and coding assistants, the potential is immense. However, realizing this potential has been hampered by a fundamental technical challenge: the lack of a standardized way for AI models to securely interact with the vast universe of external tools, APIs, and data sources.

This integration problem led to the development of the Model Context Protocol (MCP), an open-source framework introduced by AI safety and research company Anthropic in late 2024. MCP provides a universal interface, inspired by the success of the Language Server Protocol in software development, that allows any AI model to connect with any data source or tool that exposes an MCP server. This elegantly solves the 'N×M' integration problem, where developers previously had to build bespoke connectors for every new combination of AI and data source.

Underscoring its strategic importance, MCP was donated to the newly formed Agentic AI Foundation (AAIF), a directed fund under the Linux Foundation co-founded by Anthropic, Block, and OpenAI. With backing from industry giants like Google, Microsoft, and AWS, the protocol's transition to a neutral, open-governance model has ignited its adoption. Major AI platforms, including OpenAI's ChatGPT and Google's Gemini models, have already integrated MCP support, and a burgeoning ecosystem of over 10,000 public MCP servers is now active.

Bridging the Gap from Protocol to Production

While MCP's open-source nature accelerates innovation and prevents vendor lock-in, it also introduces significant challenges for enterprise adoption. The protocol's power to grant AI agents access to data and tools creates new frontiers for security vulnerabilities, compliance headaches, and the risk of ungoverned 'shadow AI' automation. Industry analysts have taken note, with Gartner projecting that over 40% of agentic AI projects will be canceled by 2027 due to escalating costs or inadequate risk controls.

It is this gap between the protocol's potential and the practical realities of enterprise deployment that Mirantis's MCP AdaptiveOps services are designed to fill. Building on an operational framework launched in September, the new services provide hands-on expertise to de-risk adoption.

“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 service offerings are structured to meet organizations at various stages of maturity:
* Agentic Readiness Assessment: A two-day discovery engagement to identify and prioritize initial use cases.
* Agentic Engineering Bootcamp: A three-day hands-on workshop for engineering teams.
* MCP Server Factory: A multi-week project to establish reusable templates and workflows for building MCP servers.
* MCP Server Development: A focused development engagement to design and implement custom MCP servers or agents.
* AI Risk & Compliance Operating Model: A consulting service to align agentic platforms with internal policies and external regulations.
* Agentic Platform Design & Implementation: A comprehensive engagement to build a multi-tenant, governed agentic platform integrated with LLMs.

A Kubernetes-Native Approach to AI Operations

Mirantis is leveraging its deep expertise in Kubernetes and cloud-native infrastructure to address the operational challenges of agentic AI. The company's 'Metal-to-Model' philosophy aims to simplify the entire AI infrastructure stack, from the underlying GPU hardware to the deployment of complex models. By applying the principles of container orchestration and declarative infrastructure to MCP, Mirantis seeks to make AI operations as manageable and scalable as modern cloud-native applications.

This approach distinguishes Mirantis from general AI consultants or the hyperscale cloud providers. While AWS, Google, and Microsoft offer foundational AI platforms, Mirantis is carving out a specialized role focused on the secure and compliant operation of systems built on open standards like MCP. Their framework is designed to provide clean abstractions, ensuring that as the protocol evolves, enterprise implementations can adapt without costly re-engineering. This focus on operational resilience and governance is critical for organizations looking to deploy agentic AI for mission-critical functions or with sensitive data.

The launch of MCP AdaptiveOps represents a strategic bet that the next wave of enterprise AI adoption will not be about proprietary, walled-garden platforms, but about successfully operationalizing powerful open standards. By providing a clear, adaptable, and governed pathway, Mirantis is positioning itself as a crucial enabler for businesses seeking to move beyond AI hype and into production-grade, agentic reality.