Lens Launches Built-In MCP Server Connecting AI Coding Assistants to Kubernetes

Lens Desktop enables Claude Code, ChatGPT, Cursor, and others to discover and connect to Kubernetes clusters without custom plug-ins or manual integration work

CAMPBELL, Calif.--(BUSINESS WIRE)--Lens by Mirantis today announced the launch of a built-in MCP (Model Context Protocol) server in Lens Desktop, the world’s most widely adopted Kubernetes IDE with more than 1 million users worldwide.

Lens is the first major Kubernetes management tool to ship a built-in MCP server, making it easier for AI coding assistants including Claude Code, ChatGPT, Cursor, GitHub Copilot, and other MCP-compatible tools to connect with Kubernetes clusters. Lens extends AI-assisted development into practical AIOps workflows – enabling AI tools not only to generate code, but to understand, diagnose, and interact with running infrastructure.

Lens Desktop already helps developers and platform engineers discover, connect to, and manage Kubernetes clusters across both on-premises and cloud platforms with built-in integrations for AWS and Azure, with Google Cloud support coming soon. With the new built-in MCP server, Lens provides connectivity and cluster context to AI coding assistants, reducing the need for custom integrations, manual setup, or use of kubeconfig inside AI tools.

“AI coding assistants are quickly becoming part of the everyday developer workflow, but Kubernetes access has remained awkward to bring into that experience,” said Miska Kaipiainen, head of product for Lens at Mirantis. “With the built-in MCP server in Lens Desktop, tools like Claude Code can use Lens as the bridge to discover and connect to clusters with far less setup.”

AI coding assistants are increasingly used for developing code, debugging, and day-to-day development tasks. However, bringing Kubernetes into those workflows has often required additional scripts, plug-ins, or manual configuration. Lens simplifies that experience by acting as the connection layer between the AI tools and the Kubernetes clusters that users already access through Lens Desktop.

The new MCP capability builds on Lens Prism, the built-in AI assistant for Kubernetes troubleshooting in Lens Desktop. It extends Lens’s AI integrations by making cluster connectivity and operational context available through a standard protocol that works across a growing ecosystem of AI tools.

Lens Desktop now includes the following capabilities:

• Built-in MCP server – Lens Desktop exposes Kubernetes connectivity through MCP for AI assistants and agent-based tools;
• Cluster discovery through Lens – AI tools can discover and connect to clusters already managed in Lens Desktop;
• Works with popular AI tools – Designed to work with Claude Code, ChatGPT, Cursor, GitHub Copilot, and other MCP-compatible clients;
• Less setup friction – Reduces the need for custom plug-ins, glue code, or manual integration work when bringing Kubernetes into AI-assisted workflows;
• Uses existing Lens context – Works through the same Lens-managed user authentication already utilized for cluster connectivity;
• Secure connectivity – Credentials and cluster access remain on the user’s desktop.

The built-in Lens MCP server is available now in the latest version of Lens Desktop at lenshq.io. Read the full announcement on the Lens blog.

About Lens

Lens by Mirantis is the most widely adopted Kubernetes IDE in the world, trusted by over 1 million developers and operators to simplify cluster management, streamline DevOps workflows, and accelerate cloud native development. Learn more at https://lenshq.io.

About Mirantis

Mirantis delivers the fastest path to profitable, scalable GPU cloud infrastructure for neoclouds and enterprise AI factories, with full-stack AI infrastructure technology that removes complexity and streamlines operations across the AI lifecycle, from Metal-to-Model. Through k0rdent AI and strategic partnerships, Mirantis enables organizations to transform GPU cloud economics with production-grade multi-tenancy, intelligent workload orchestration, and automated operations that maximize utilization and profitability. With more than 20 years delivering mission-critical open source cloud solutions, Mirantis provides the end-to-end automation, enterprise security and governance, and deep expertise in Kubernetes and GPU 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 and service providers, including Adobe, Ericsson, Inmarsat, MetLife, PayPal, and Societe Generale. Learn more at www.mirantis.com.