AI Agent for Kubernetes MCP Server
Seamlessly integrate Kubernetes MCP Server with your automation and development workflows. Manage and operate Kubernetes and OpenShift clusters with native, high-performance API interactions—no external dependencies required. Streamline configuration, resource operations, and Helm chart management all from a lightweight, cross-platform server.
Unified Kubernetes & OpenShift Management
Leverage a powerful, native Go-based MCP server to control any Kubernetes or OpenShift resource without relying on kubectl or helm binaries. Perform CRUD operations, manage pods, namespaces, and events, and interact directly with your clusters for instant feedback and robust automation.
- Direct API Integration.
- No need for kubectl or helm; communicate with Kubernetes API for low-latency, high-performance operations.
- Real-Time Configuration.
- Auto-detect and apply changes to Kubernetes configuration, ensuring up-to-date cluster access.
- Universal Resource Support.
- Create, update, list, or delete any Kubernetes or OpenShift resource—pods, namespaces, projects, and more.
- Pod & Helm Management.
- List, delete, exec, and access logs from pods. Install, list, and uninstall Helm charts across namespaces.
Lightweight, Cross-Platform, and Secure
Run the MCP server as a single native binary or container image on Linux, macOS, or Windows. Configure access via CLI arguments for granular control, including read-only and no-destructive modes to ensure safe operations in production environments.
- Read-Only & Safe Modes.
- Enable read-only or non-destructive settings for safe cluster diagnostics and operations.
- Cross-Platform Distribution.
- Deploy as a native binary or via npm, PyPI, or Docker—maximizing compatibility across your team.
- Extensive Configuration.
- Control all aspects via CLI, including port, log-level, kubeconfig, and output formats.
Built for Automation & Developer Productivity
Integrate with Claude Desktop, VS Code, Cursor, or Goose CLI for seamless AI-powered workflows. Rapidly diagnose, fix deployments, and manage resources with one-click setup—accelerating DevOps and AI agent efficiency.
- AI-Enhanced Workflows.
- Use with Claude Desktop, Cursor, VS Code, and Goose CLI for intelligent automation and rapid troubleshooting.
- Fast Setup & Integration.
- Install and configure with one-click links or simple npm/PyPI commands.
- Well-Tested Reliability.
- Benefit from an extensive test suite ensuring robust performance across environments.
MCP INTEGRATION
Available Kubernetes MCP Integration Tools
The following tools are available as part of the Kubernetes MCP integration:
- configuration_view
Get the current Kubernetes configuration content as kubeconfig YAML, with options to minify or show all contexts.
- events_list
List all Kubernetes events in the cluster, with optional filtering by namespace.
- helm_install
Install a Helm chart into a specific namespace, using a provided chart file or URL and custom values.
- helm_list
List all Helm releases in the current, specific, or all namespaces.
Supercharge Kubernetes Management with MCP Server
Experience a powerful, native, and cross-platform Kubernetes MCP server—no kubectl or helm required. Easily manage clusters, automate workflows, and integrate with your favorite tools. Start now and streamline your Kubernetes operations.
What is Kubernetes MCP Server by Marc Nuri
The Kubernetes MCP Server, developed by Marc Nuri, is an open-source server implementation that provides a Model Context Protocol (MCP) interface for interacting with Kubernetes and OpenShift clusters. This server allows users, applications, and AI agents to connect to Kubernetes clusters and perform various operations such as managing pods, deployments, and services. Built primarily in Kotlin, the MCP Server is designed for flexibility, security, and extensibility, enabling seamless integration with AI-powered workflows and programmatic cluster management. The tool is especially valuable for developers, DevOps teams, and organizations looking to automate or remotely control Kubernetes environments efficiently and securely.
Capabilities
What we can do with Kubernetes MCP Server
The Kubernetes MCP Server provides a robust set of features for interacting with Kubernetes and OpenShift clusters, making it ideal for integration with AI agents, automation frameworks, and advanced DevOps toolchains.
- Cluster Management
- Seamlessly manage and control Kubernetes and OpenShift clusters through a unified MCP interface.
- Pod and Deployment Operations
- Perform lifecycle operations on pods and deployments, including creation, scaling, and deletion.
- Secure Remote Access
- Enable secure, authenticated, and programmatic remote access to Kubernetes resources.
- Custom Workflow Automation
- Integrate with CI/CD pipelines or AI workflows to automate cluster tasks using the MCP protocol.
- Extensible API
- Easily extend the server to support new Kubernetes resources or custom operational logic.
How AI Agents Benefit from Kubernetes MCP Server
AI agents can leverage the Kubernetes MCP Server to interact programmatically with Kubernetes and OpenShift clusters, enabling intelligent automation, resource optimization, and dynamic orchestration of cloud-native workloads. By providing a standardized protocol (MCP) and secure API, AI agents can monitor, scale, and manage infrastructure efficiently, unlocking advanced use cases in self-healing systems, predictive scaling, and adaptive resource management.