✨ Features | 🚀 Getting Started | 🎥 Demos | ⚙️ Configuration | 🛠️ Tools | 🧑💻 Development A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift. - ✅ Configuration: - Automatically detect changes in the Kubernetes configuration and update the MCP server. - View and manage the current Kubernetes .kube/config or in-cluster
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npx mdskills install manusa/kubernetes-mcp-serverNative Go implementation providing comprehensive Kubernetes/OpenShift tooling with excellent documentation
✨ Features | 🚀 Getting Started | 🎥 Demos | ⚙️ Configuration | 🛠️ Tools | 🧑💻 Development
https://github.com/user-attachments/assets/be2b67b3-fc1c-4d11-ae46-93deba8ed98e
A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift.
.kube/config or in-cluster configuration./stats endpoint for real-time statistics. See OTEL.md.Unlike other Kubernetes MCP server implementations, this IS NOT just a wrapper around kubectl or helm command-line tools.
It is a Go-based native implementation that interacts directly with the Kubernetes API server.
There is NO NEED for external dependencies or tools to be installed on the system. If you're using the native binaries you don't need to have Node or Python installed on your system.
Claude Code
Follow the dedicated Claude Code getting started guide in our user documentation.
For a secure production setup with dedicated ServiceAccount and read-only access, also review the Kubernetes setup guide.
If you have npm installed, this is the fastest way to get started with kubernetes-mcp-server on Claude Desktop.
Open your claude_desktop_config.json and add the mcp server to the list of mcpServers:
{
"mcpServers": {
"kubernetes": {
"command": "npx",
"args": [
"-y",
"kubernetes-mcp-server@latest"
]
}
}
}
Install the Kubernetes MCP server extension in VS Code Insiders by pressing the following link:
Alternatively, you can install the extension manually by running the following command:
# For VS Code
code --add-mcp '{"name":"kubernetes","command":"npx","args":["kubernetes-mcp-server@latest"]}'
# For VS Code Insiders
code-insiders --add-mcp '{"name":"kubernetes","command":"npx","args":["kubernetes-mcp-server@latest"]}'
Install the Kubernetes MCP server extension in Cursor by pressing the following link:
Alternatively, you can install the extension manually by editing the mcp.json file:
{
"mcpServers": {
"kubernetes-mcp-server": {
"command": "npx",
"args": ["-y", "kubernetes-mcp-server@latest"]
}
}
}
Goose CLI is the easiest (and cheapest) way to get rolling with artificial intelligence (AI) agents.
If you have npm installed, this is the fastest way to get started with kubernetes-mcp-server.
Open your goose config.yaml and add the mcp server to the list of mcpServers:
extensions:
kubernetes:
command: npx
args:
- -y
- kubernetes-mcp-server@latest
Demo showcasing how Kubernetes MCP server is leveraged by Claude Desktop to automatically diagnose and fix a deployment in OpenShift without any user assistance.
https://github.com/user-attachments/assets/a576176d-a142-4c19-b9aa-a83dc4b8d941
In this demo, I walk you through the process of Vibe Coding a simple game using VS Code and how to leverage Podman MCP server and Kubernetes MCP server to deploy it to OpenShift.
In this demo, I'll show you how to set up Kubernetes MCP server in VS code just by clicking a link.
The Kubernetes MCP server can be configured using command line (CLI) arguments.
You can run the CLI executable either by using npx, uvx, or by downloading the latest release binary.
# Run the Kubernetes MCP server using npx (in case you have npm and node installed)
npx kubernetes-mcp-server@latest --help
# Run the Kubernetes MCP server using uvx (in case you have uv and python installed)
uvx kubernetes-mcp-server@latest --help
# Run the Kubernetes MCP server using the latest release binary
./kubernetes-mcp-server --help
| Option | Description |
|---|---|
--port | Starts the MCP server in Streamable HTTP mode (path /mcp) and Server-Sent Event (SSE) (path /sse) mode and listens on the specified port . |
--log-level | Sets the logging level (values from 0-9). Similar to kubectl logging levels. |
--config | (Optional) Path to the main TOML configuration file. See Configuration Reference for details. |
--config-dir | (Optional) Path to drop-in configuration directory. Files are loaded in lexical (alphabetical) order. Defaults to conf.d relative to the main config file if --config is specified. See Configuration Reference for details. |
--kubeconfig | Path to the Kubernetes configuration file. If not provided, it will try to resolve the configuration (in-cluster, default location, etc.). |
--list-output | Output format for resource list operations (one of: yaml, table) (default "table") |
--read-only | If set, the MCP server will run in read-only mode, meaning it will not allow any write operations (create, update, delete) on the Kubernetes cluster. This is useful for debugging or inspecting the cluster without making changes. |
--disable-destructive | If set, the MCP server will disable all destructive operations (delete, update, etc.) on the Kubernetes cluster. This is useful for debugging or inspecting the cluster without accidentally making changes. This option has no effect when --read-only is used. |
--stateless | If set, the MCP server will run in stateless mode, disabling tool and prompt change notifications. This is useful for container deployments, load balancing, and serverless environments where maintaining client state is not desired. |
--toolsets | Comma-separated list of toolsets to enable. Check the 🛠️ Tools and Functionalities section for more information. |
--disable-multi-cluster | If set, the MCP server will disable multi-cluster support and will only use the current context from the kubeconfig file. This is useful if you want to restrict the MCP server to a single cluster. |
--cluster-provider. | Cluster provider strategy to use (one of: kubeconfig, in-cluster, kcp, disabled). If not set, the server will auto-detect based on the environment. |
For complex or persistent configurations, use TOML configuration files instead of CLI arguments:
kubernetes-mcp-server --config /etc/kubernetes-mcp-server/config.toml
Example configuration:
log_level = 2
read_only = true
toolsets = ["core", "config", "helm", "kubevirt"]
[telemetry]
endpoint = "http://localhost:4317"
For comprehensive TOML configuration documentation, including:
See the Configuration Reference.
The server supports the MCP logging capability, allowing clients to receive debugging information via structured log messages. Kubernetes API errors are automatically categorized and logged to clients with appropriate severity levels. Sensitive data (tokens, keys, passwords, cloud credentials) is automatically redacted before being sent to clients.
See the MCP Logging Guide.
The Kubernetes MCP server supports enabling or disabling specific groups of tools and functionalities (tools, resources, prompts, and so on) via the --toolsets command-line flag or toolsets configuration option.
This allows you to control which Kubernetes functionalities are available to your AI tools.
Enabling only the toolsets you need can help reduce the context size and improve the LLM's tool selection accuracy.
The following sets of tools are available (toolsets marked with ✓ in the Default column are enabled by default):
| Toolset | Description | Default |
|---|---|---|
| config | View and manage the current local Kubernetes configuration (kubeconfig) | ✓ |
| core | Most common tools for Kubernetes management (Pods, Generic Resources, Events, etc.) | ✓ |
| helm | Tools for managing Helm charts and releases | ✓ |
| kcp | Manage kcp workspaces and multi-tenancy features | |
| kiali | Most common tools for managing Kiali, check the Kiali documentation for more details. | |
| kubevirt | KubeVirt virtual machine management tools |
In case multi-cluster support is enabled (default) and you have access to multiple clusters, all applicable tools will include an additional context argument to specify the Kubernetes context (cluster) to use for that operation.
config
configuration_contexts_list - List all available context names and associated server urls from the kubeconfig file
targets_list - List all available targets
configuration_view - Get the current Kubernetes configuration content as a kubeconfig YAML
minified (boolean) - Return a minified version of the configuration. If set to true, keeps only the current-context and the relevant pieces of the configuration for that context. If set to false, all contexts, clusters, auth-infos, and users are returned in the configuration. (Optional, default true)core
events_list - List Kubernetes events (warnings, errors, state changes) for debugging and troubleshooting in the current cluster from all namespaces
namespace (string) - Optional Namespace to retrieve the events from. If not provided, will list events from all namespacesnamespaces_list - List all the Kubernetes namespaces in the current cluster
projects_list - List all the OpenShift projects in the current cluster
nodes_log - Get logs from a Kubernetes node (kubelet, kube-proxy, or other system logs). This accesses node logs through the Kubernetes API proxy to the kubelet
name (string) (required) - Name of the node to get logs fromquery (string) (required) - query specifies services(s) or files from which to return logs (required). Example: "kubelet" to fetch kubelet logs, "/" to fetch a specific log file from the node (e.g., "/var/log/kubelet.log" or "/var/log/kube-proxy.log")tailLines (integer) - Number of lines to retrieve from the end of the logs (Optional, 0 means all logs)nodes_stats_summary - Get detailed resource usage statistics from a Kubernetes node via the kubelet's Summary API. Provides comprehensive metrics including CPU, memory, filesystem, and network usage at the node, pod, and container levels. On systems with cgroup v2 and kernel 4.20+, also includes PSI (Pressure Stall Information) metrics that show resource pressure for CPU, memory, and I/O. See https://kubernetes.io/docs/reference/instrumentation/understand-psi-metrics/ for details on PSI metrics
name (string) (required) - Name of the node to get stats fromnodes_top - List the resource consumption (CPU and memory) as recorded by the Kubernetes Metrics Server for the specified Kubernetes Nodes or all nodes in the cluster
label_selector (string) - Kubernetes label selector (e.g. 'node-role.kubernetes.io/worker=') to filter nodes by label (Optional, only applicable when name is not provided)name (string) - Name of the Node to get the resource consumption from (Optional, all Nodes if not provided)pods_list - List all the Kubernetes pods in the current cluster from all namespaces
fieldSelector (string) - Optional Kubernetes field selector to filter pods by field values (e.g. 'status.phase=Running', 'spec.nodeName=node1'). Supported fields: metadata.name, metadata.namespace, spec.nodeName, spec.restartPolicy, spec.schedulerName, spec.serviceAccountName, status.phase (Pending/Running/Succeeded/Failed/Unknown), status.podIP, status.nominatedNodeName. Note: CrashLoopBackOff is a container state, not a pod phase, so it cannot be filtered directly. See https://kubernetes.io/docs/concepts/overview/working-with-objects/field-selectors/labelSelector (string) - Optional Kubernetes label selector (e.g. 'app=myapp,env=prod' or 'app in (myapp,yourapp)'), use this option when you want to filter the pods by labelpods_list_in_namespace - List all the Kubernetes pods in the specified namespace in the current cluster
fieldSelector (string) - Optional Kubernetes field selector to filter pods by field values (e.g. 'status.phase=Running', 'spec.nodeName=node1'). Supported fields: metadata.name, metadata.namespace, spec.nodeName, spec.restartPolicy, spec.schedulerName, spec.serviceAccountName, status.phase (Pending/Running/Succeeded/Failed/Unknown), status.podIP, status.nominatedNodeName. Note: CrashLoopBackOff is a container state, not a pod phase, so it cannot be filtered directly. See https://kubernetes.io/docs/concepts/overview/working-with-objects/field-selectors/labelSelector (string) - Optional Kubernetes label selector (e.g. 'app=myapp,env=prod' or 'app in (myapp,yourapp)'), use this option when you want to filter the pods by labelnamespace (string) (required) - Namespace to list pods frompods_get - Get a Kubernetes Pod in the current or provided namespace with the provided name
name (string) (required) - Name of the Podnamespace (string) - Namespace to get the Pod frompods_delete - Delete a Kubernetes Pod in the current or provided namespace with the provided name
name (string) (required) - Name of the Pod to deletenamespace (string) - Namespace to delete the Pod frompods_top - List the resource consumption (CPU and memory) as recorded by the Kubernetes Metrics Server for the specified Kubernetes Pods in the all namespaces, the provided namespace, or the current namespace
all_namespaces (boolean) - If true, list the resource consumption for all Pods in all namespaces. If false, list the resource consumption for Pods in the provided namespace or the current namespacelabel_selector (string) - Kubernetes label selector (e.g. 'app=myapp,env=prod' or 'app in (myapp,yourapp)'), use this option when you want to filter the pods by label (Optional, only applicable when name is not provided)name (string) - Name of the Pod to get the resource consumption from (Optional, all Pods in the namespace if not provided)namespace (string) - Namespace to get the Pods resource consumption from (Optional, current namespace if not provided and all_namespaces is false)pods_exec - Execute a command in a Kubernetes Pod (shell access, run commands in container) in the current or provided namespace with the provided name and command
command (array) (required) - Command to execute in the Pod container. The first item is the command to be run, and the rest are the arguments to that command. Example: ["ls", "-l", "/tmp"]container (string) - Name of the Pod container where the command will be executed (Optional)name (string) (required) - Name of the Pod where the command will be executednamespace (string) - Namespace of the Pod where the command will be executedpods_log - Get the logs of a Kubernetes Pod in the current or provided namespace with the provided name
container (string) - Name of the Pod container to get the logs from (Optional)name (string) (required) - Name of the Pod to get the logs fromnamespace (string) - Namespace to get the Pod logs fromprevious (boolean) - Return previous terminated container logs (Optional)tail (integer) - Number of lines to retrieve from the end of the logs (Optional, default: 100)pods_run - Run a Kubernetes Pod in the current or provided namespace with the provided container image and optional name
image (string) (required) - Container Image to run in the Podname (string) - Name of the Pod (Optional, random name if not provided)namespace (string) - Namespace to run the Pod inport (number) - TCP/IP port to expose from the Pod container (Optional, no port exposed if not provided)resources_list - List Kubernetes resources and objects in the current cluster by providing their apiVersion and kind and optionally the namespace and label selector (common apiVersion and kind include: v1 Pod, v1 Service, v1 Node, apps/v1 Deployment, networking.k8s.io/v1 Ingress, route.openshift.io/v1 Route)
apiVersion (string) (required) - apiVersion of the resources (examples of valid apiVersion are: v1, apps/v1, networking.k8s.io/v1)fieldSelector (string) - Optional Kubernetes field selector to filter resources by field values (e.g. 'status.phase=Running', 'metadata.name=myresource'). Supported fields vary by resource type. For Pods: metadata.name, metadata.namespace, spec.nodeName, spec.restartPolicy, spec.schedulerName, spec.serviceAccountName, status.phase (Pending/Running/Succeeded/Failed/Unknown), status.podIP, status.nominatedNodeName. See https://kubernetes.io/docs/concepts/overview/working-with-objects/field-selectors/kind (string) (required) - kind of the resources (examples of valid kind are: Pod, Service, Deployment, Ingress)labelSelector (string) - Optional Kubernetes label selector (e.g. 'app=myapp,env=prod' or 'app in (myapp,yourapp)'), use this option when you want to filter the resources by labelnamespace (string) - Optional Namespace to retrieve the namespaced resources from (ignored in case of cluster scoped resources). If not provided, will list resources from all namespacesresources_get - Get a Kubernetes resource in the current cluster by providing its apiVersion, kind, optionally the namespace, and its name (common apiVersion and kind include: v1 Pod, v1 Service, v1 Node, apps/v1 Deployment, networking.k8s.io/v1 Ingress, route.openshift.io/v1 Route)
apiVersion (string) (required) - apiVersion of the resource (examples of valid apiVersion are: v1, apps/v1, networking.k8s.io/v1)kind (string) (required) - kind of the resource (examples of valid kind are: Pod, Service, Deployment, Ingress)name (string) (required) - Name of the resourcenamespace (string) - Optional Namespace to retrieve the namespaced resource from (ignored in case of cluster scoped resources). If not provided, will get resource from configured namespaceresources_create_or_update - Create or update a Kubernetes resource in the current cluster by providing a YAML or JSON representation of the resource (common apiVersion and kind include: v1 Pod, v1 Service, v1 Node, apps/v1 Deployment, networking.k8s.io/v1 Ingress, route.openshift.io/v1 Route)
resource (string) (required) - A JSON or YAML containing a representation of the Kubernetes resource. Should include top-level fields such as apiVersion,kind,metadata, and specresources_delete - Delete a Kubernetes resource in the current cluster by providing its apiVersion, kind, optionally the namespace, and its name (common apiVersion and kind include: v1 Pod, v1 Service, v1 Node, apps/v1 Deployment, networking.k8s.io/v1 Ingress, route.openshift.io/v1 Route)
apiVersion (string) (required) - apiVersion of the resource (examples of valid apiVersion are: v1, apps/v1, networking.k8s.io/v1)gracePeriodSeconds (integer) - Optional duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be usedkind (string) (required) - kind of the resource (examples of valid kind are: Pod, Service, Deployment, Ingress)name (string) (required) - Name of the resourcenamespace (string) - Optional Namespace to delete the namespaced resource from (ignored in case of cluster scoped resources). If not provided, will delete resource from configured namespaceresources_scale - Get or update the scale of a Kubernetes resource in the current cluster by providing its apiVersion, kind, name, and optionally the namespace. If the scale is set in the tool call, the scale will be updated to that value. Always returns the current scale of the resource
apiVersion (string) (required) - apiVersion of the resource (examples of valid apiVersion are apps/v1)kind (string) (required) - kind of the resource (examples of valid kind are: StatefulSet, Deployment)name (string) (required) - Name of the resourcenamespace (string) - Optional Namespace to get/update the namespaced resource scale from (ignored in case of cluster scoped resources). If not provided, will get/update resource scale from configured namespacescale (integer) - Optional scale to update the resources scale to. If not provided, will return the current scale of the resource, and not update ithelm
helm_install - Install (deploy) a Helm chart to create a release in the current or provided namespace
chart (string) (required) - Chart reference to install (for example: stable/grafana, oci://ghcr.io/nginxinc/charts/nginx-ingress)name (string) - Name of the Helm release (Optional, random name if not provided)namespace (string) - Namespace to install the Helm chart in (Optional, current namespace if not provided)values (object) - Values to pass to the Helm chart (Optional)helm_list - List all the Helm releases in the current or provided namespace (or in all namespaces if specified)
all_namespaces (boolean) - If true, lists all Helm releases in all namespaces ignoring the namespace argument (Optional)namespace (string) - Namespace to list Helm releases from (Optional, all namespaces if not provided)helm_uninstall - Uninstall a Helm release in the current or provided namespace
name (string) (required) - Name of the Helm release to uninstallnamespace (string) - Namespace to uninstall the Helm release from (Optional, current namespace if not provided)kcp
kcp_workspaces_list - List all available kcp workspaces in the current cluster
kcp_workspace_describe - Get detailed information about a specific kcp workspace
workspace (string) (required) - Name or path of the workspace to describekiali
kiali_mesh_graph - Returns the topology of a specific namespaces, health, status of the mesh and namespaces. Includes a mesh health summary overview with aggregated counts of healthy, degraded, and failing apps, workloads, and services. Use this for high-level overviews
graphType (string) - Optional type of graph to return: 'versionedApp', 'app', 'service', 'workload', 'mesh'namespace (string) - Optional single namespace to include in the graph (alternative to namespaces)namespaces (string) - Optional comma-separated list of namespaces to include in the graphrateInterval (string) - Optional rate interval for fetching (e.g., '10m', '5m', '1h').kiali_manage_istio_config_read - Lists or gets Istio configuration objects (Gateways, VirtualServices, etc.)
action (string) (required) - Action to perform: list or getgroup (string) - API group of the Istio object (e.g., 'networking.istio.io', 'gateway.networking.k8s.io')kind (string) - Kind of the Istio object (e.g., 'DestinationRule', 'VirtualService', 'HTTPRoute', 'Gateway')name (string) - Name of the Istio objectnamespace (string) - Namespace containing the Istio objectversion (string) - API version of the Istio object (e.g., 'v1', 'v1beta1')kiali_manage_istio_config - Creates, patches, or deletes Istio configuration objects (Gateways, VirtualServices, etc.)
action (string) (required) - Action to perform: create, patch, or deletegroup (string) - API group of the Istio object (e.g., 'networking.istio.io', 'gateway.networking.k8s.io')json_data (string) - JSON data to apply or create the objectkind (string) - Kind of the Istio object (e.g., 'DestinationRule', 'VirtualService', 'HTTPRoute', 'Gateway')name (string) - Name of the Istio objectnamespace (string) - Namespace containing the Istio objectversion (string) - API version of the Istio object (e.g., 'v1', 'v1beta1')kiali_get_resource_details - Gets lists or detailed info for Kubernetes resources (services, workloads) within the mesh
namespaces (string) - Comma-separated list of namespaces to get services from (e.g. 'bookinfo' or 'bookinfo,default'). If not provided, will list services from all accessible namespacesresource_name (string) - Name of the resource to get details for (optional string - if provided, gets details; if empty, lists all).resource_type (string) - Type of resource to get details for (service, workload)kiali_get_metrics - Gets lists or detailed info for Kubernetes resources (services, workloads) within the mesh
byLabels (string) - Comma-separated list of labels to group metrics by (e.g., 'source_workload,destination_service'). Optionaldirection (string) - Traffic direction: 'inbound' or 'outbound'. Optional, defaults to 'outbound'duration (string) - Time range to get metrics for (optional string - if provided, gets metrics (e.g., '1m', '5m', '1h'); if empty, get default 30m).namespace (string) (required) - Namespace to get resources fromquantiles (string) - Comma-separated list of quantiles for histogram metrics (e.g., '0.5,0.95,0.99'). OptionalrateInterval (string) - Rate interval for metrics (e.g., '1m', '5m'). Optional, defaults to '10m'reporter (string) - Metrics reporter: 'source', 'destination', or 'both'. Optional, defaults to 'source'requestProtocol (string) - Filter by request protocol (e.g., 'http', 'grpc', 'tcp'). Optionalresource_name (string) (required) - Name of the resource to get details for (optional string - if provided, gets details; if empty, lists all).resource_type (string) (required) - Type of resource to get details for (service, workload)step (string) - Step between data points in seconds (e.g., '15'). Optional, defaults to 15 secondskiali_workload_logs - Get logs for a specific workload's pods in a namespace. Only requires namespace and workload name - automatically discovers pods and containers. Optionally filter by container name, time range, and other parameters. Container is auto-detected if not specified.
container (string) - Optional container name to filter logs. If not provided, automatically detects and uses the main application container (excludes istio-proxy and istio-init)namespace (string) (required) - Namespace containing the workloadsince (string) - Time duration to fetch logs from (e.g., '5m', '1h', '30s'). If not provided, returns recent logstail (integer) - Number of lines to retrieve from the end of logs (default: 100)workload (string) (required) - Name of the workload to get logs forkiali_get_traces - Gets traces for a specific resource (app, service, workload) in a namespace, or gets detailed information for a specific trace by its ID. If traceId is provided, it returns detailed trace information and other parameters are not required.
clusterName (string) - Cluster name for multi-cluster environments (optional, only used when traceId is not provided)endMicros (string) - End time for traces in microseconds since epoch (optional, defaults to 10 minutes after startMicros if not provided, only used when traceId is not provided)limit (integer) - Maximum number of traces to return (default: 100, only used when traceId is not provided)minDuration (integer) - Minimum trace duration in microseconds (optional, only used when traceId is not provided)namespace (string) - Namespace to get resources from. Required if traceId is not provided.resource_name (string) - Name of the resource to get traces for. Required if traceId is not provided.resource_type (string) - Type of resource to get traces for (app, service, workload). Required if traceId is not provided.startMicros (string) - Start time for traces in microseconds since epoch (optional, defaults to 10 minutes before current time if not provided, only used when traceId is not provided)tags (string) - JSON string of tags to filter traces (optional, only used when traceId is not provided)traceId (string) - Unique identifier of the trace to retrieve detailed information for. If provided, this will return detailed trace information and other parameters (resource_type, namespace, resource_name) are not required.kubevirt
vm_clone - Clone a KubeVirt VirtualMachine by creating a VirtualMachineClone resource. This creates a copy of the source VM with a new name using the KubeVirt Clone API
name (string) (required) - The name of the source virtual machine to clonenamespace (string) (required) - The namespace of the source virtual machinetargetName (string) (required) - The name for the new cloned virtual machinevm_create - Create a VirtualMachine in the cluster with the specified configuration, automatically resolving instance types, preferences, and container disk images. VM will be created in Halted state by default; use autostart parameter to start it immediately.
autostart (boolean) - Optional flag to automatically start the VM after creation (sets runStrategy to Always instead of Halted). Defaults to false.instancetype (string) - Optional instance type name for the VM (e.g., 'u1.small', 'u1.medium', 'u1.large')name (string) (required) - The name of the virtual machinenamespace (string) (required) - The namespace for the virtual machinenetworks (array) - Optional secondary network interfaces to attach to the VM. Each item specifies a Multus NetworkAttachmentDefinition to attach. Accepts either simple strings (NetworkAttachmentDefinition names) or objects with 'name' (interface name in VM) and 'networkName' (NetworkAttachmentDefinition name) properties. Each network creates a bridge interface on the VM.performance (string) - Optional performance family hint for the VM instance type (e.g., 'u1' for general-purpose, 'o1' for overcommitted, 'c1' for compute-optimized, 'm1' for memory-optimized). Defaults to 'u1' (general-purpose) if not specified.preference (string) - Optional preference name for the VMsize (string) - Optional workload size hint for the VM (e.g., 'small', 'medium', 'large', 'xlarge'). Used to auto-select an appropriate instance type if not explicitly specified.storage (string) - Optional storage size for the VM's root disk when using DataSources (e.g., '30Gi', '50Gi', '100Gi'). Defaults to 30Gi. Ignored when using container disks.workload (string) - The workload for the VM. Accepts OS names (e.g., 'fedora' (default), 'ubuntu', 'centos', 'centos-stream', 'debian', 'rhel', 'opensuse', 'opensuse-tumbleweed', 'opensuse-leap') or full container disk image URLsvm_lifecycle - Manage VirtualMachine lifecycle: start, stop, or restart a VM
action (string) (required) - The lifecycle action to perform: 'start' (changes runStrategy to Always), 'stop' (changes runStrategy to Halted), or 'restart' (stops then starts the VM)name (string) (required) - The name of the virtual machinenamespace (string) (required) - The namespace of the virtual machinecore
namespace (string) - Optional namespace to limit health check scope (default: all namespaces)check_events (string) - Include recent warning/error events (true/false, default: true)kubevirt
namespace (string) (required) - The namespace of the VirtualMachine to troubleshootname (string) (required) - The name of the VirtualMachine to troubleshootA Helm Chart is available to simplify the deployment of the Kubernetes MCP server. Additional details can be found in the chart README.
Compile the project and run the Kubernetes MCP server with mcp-inspector to inspect the MCP server.
# Compile the project
make build
# Run the Kubernetes MCP server with mcp-inspector
npx @modelcontextprotocol/inspector@latest $(pwd)/kubernetes-mcp-server
mcp-name: io.github.containers/kubernetes-mcp-server
Install via CLI
npx mdskills install manusa/kubernetes-mcp-serverKubernetes MCP Server is a free, open-source AI agent skill. ✨ Features | 🚀 Getting Started | 🎥 Demos | ⚙️ Configuration | 🛠️ Tools | 🧑💻 Development A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift. - ✅ Configuration: - Automatically detect changes in the Kubernetes configuration and update the MCP server. - View and manage the current Kubernetes .kube/config or in-cluster
Install Kubernetes MCP Server with a single command:
npx mdskills install manusa/kubernetes-mcp-serverThis downloads the skill files into your project and your AI agent picks them up automatically.
Kubernetes MCP Server works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Gemini Cli, Amp, Roo Code, Goose. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.