Manage Kubernetes and OpenShift clusters through MCP with resource, pod, Helm, configuration, and observability tools.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
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💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Kubernetes MCP Server.
configuration_contexts_listList all available context names and associated server urls from the kubeconfig file
targets_listList all available targets
configuration_viewGet the current Kubernetes configuration content as a kubeconfig YAML
events_listList Kubernetes events (warnings, errors, state changes) for debugging and troubleshooting in the current cluster from all namespaces
namespaces_listList all the Kubernetes namespaces in the current cluster
projects_listList all the OpenShift projects in the current cluster
The manusa/Kubernetes MCP Server MCP server gives MCP clients access to Kubernetes and OpenShift clusters. It supports generic operations across Kubernetes resources, so an agent can list, retrieve, create or update, delete, and scale objects by API version, kind, namespace, name, or label selector. Create and update operations use Server-Side Apply and require the complete desired manifest; fields omitted from a newly applied manifest can be removed.
Specialized tools cover common operational tasks. Agents can inspect namespaces, OpenShift projects, cluster events, pods, node logs, node statistics, and Metrics Server usage. Pod tools support listing, retrieval, deletion, logs, command execution, resource metrics, and running a container image. Helm tools install, list, and uninstall releases. The provided tool set also includes kubeconfig inspection, kcp workspace access, and selected Kiali and Istio service-mesh operations.
The repository documentation additionally describes Tekton operations for starting pipelines and tasks, restarting or canceling runs, troubleshooting, and retrieving run logs.
The manusa/Kubernetes MCP Server MCP server is implemented in Go and communicates directly with the Kubernetes API server. It is not a wrapper around kubectl or helm, so those command-line tools do not need to be installed. Native binaries are available for Linux, macOS, and Windows, and the project also provides npm, Python, and container distribution options.
Cluster access comes from the local Kubernetes configuration or an in-cluster configuration. The server can detect configuration changes and supports multiple clusters defined in kubeconfig files. Operations are therefore governed by the identity and permissions available to that Kubernetes configuration, including permissions for potentially mutating actions such as deletion, execution, scaling, resource application, and Helm installation.
The manusa/Kubernetes MCP Server MCP server requires access to a Kubernetes cluster. For an npm-based local setup, configure an MCP client to run npx -y kubernetes-mcp-server@latest. The README gives this setup for Claude Desktop and Cursor, and also documents VS Code and Goose configuration.
Configuration can be supplied through command-line arguments, TOML configuration files, and environment variables. The material provided here does not enumerate the individual configuration keys. The server can expose configuration information as kubeconfig YAML and can list available context names and their associated server URLs.
The server needs a reachable Kubernetes cluster and suitable permissions. Metrics-related results depend on the Kubernetes Metrics Server, while node statistics and node logs use kubelet-accessible APIs. Pod execution and resource mutation should be treated as privileged operations and restricted through Kubernetes RBAC.
Some capabilities are platform-specific: OpenShift project operations require OpenShift, and service-mesh or kcp tools require the corresponding systems and resources. The supplied material does not establish support for every MCP client; it specifically documents Claude Desktop, Cursor, and VS Code setup paths.
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