The AKS-MCP is a Model Context Protocol (MCP) server that enables AI assistants
to interact with Azure Kubernetes Service (AKS) clusters. It serves as a bridge
between AI tools (like GitHub Copilot, Claude, and other MCP-compatible AI
assistants) and AKS, translating natural language requests into AKS operations
and returning the results in a format the AI tools can understand.
It allows AI tools to:
AKS-MCP connects to Azure using the Azure SDK and provides a set of tools that AI assistants can use to interact with AKS resources. It leverages the Model Context Protocol (MCP) to facilitate this communication, enabling AI tools to make API calls to Azure and interpret the responses.
AKS-MCP uses Azure CLI (az) for AKS operations. Azure CLI authentication is attempted in this order:
Service Principal (client secret): When AZURE_CLIENT_ID, AZURE_CLIENT_SECRET, AZURE_TENANT_ID environment variables are present, a service principal login is performed using the following command: az login --service-principal -u CLIENT_ID -p CLIENT_SECRET --tenant TENANT_ID
Workload Identity (federated token): When AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_FEDERATED_TOKEN_FILE environment variables are present, a federated token login is performed using the following command: az login --service-principal -u CLIENT_ID --tenant TENANT_ID --federated-token TOKEN
User-assigned Managed Identity (managed identity client ID): When only AZURE_CLIENT_ID environment variable is present, a user-assigned managed identity login is performed using the following command: az login --identity -u CLIENT_ID
System-assigned Managed Identity: When AZURE_MANAGED_IDENTITY is set to system, a system-assigned managed identity login is performed using the following command: az login --identity
Existing Login: When none of the above environment variables are set, AKS-MCP assumes you have already authenticated (for example, via az login) and uses the existing session.
Optional subscription selection:
AZURE_SUBSCRIPTION_ID is set, AKS-MCP will run az account set --subscription SUBSCRIPTION_ID after login.Notes and security:
/var/run/secrets/azure/tokens/azure-identity-token and is strictly validated; other paths are rejected.az account show --query id -o tsv.Environment variables used:
AZURE_TENANT_IDAZURE_CLIENT_IDAZURE_CLIENT_SECRETAZURE_FEDERATED_TOKEN_FILEAZURE_SUBSCRIPTION_IDAZURE_MANAGED_IDENTITY (set to system to opt into system-assigned managed identity)The AKS-MCP server provides consolidated tools for interacting with AKS
clusters. By default, the server uses unified tools (call_az for Azure operations and call_kubectl for Kubernetes operations) which provide a more flexible interface. For backward compatibility, you can enable legacy specialized tools by setting the environment variable USE_LEGACY_TOOLS=true.
Some tools will require read-write or admin permissions to run debugging pods on your cluster. To enable read-write or admin permissions for the AKS-MCP server, add the access level parameter to your MCP configuration file:
Ctrl+Shift+P on Windows/Linux or Cmd+Shift+P on macOS).For example:
"args": [
"--transport",
"stdio",
"--access-level",
"readwrite"
]
These tools have been designed to provide comprehensive functionality through unified interfaces:
Azure CLI Operations (Unified Tool)
Tool: call_az (default, available when USE_LEGACY_TOOLS is not set or set to false)
Unified tool for executing Azure CLI commands directly. This tool provides a flexible interface to run any Azure CLI command.
Parameters:
- cli_command: The complete Azure CLI command to execute (e.g., az aks list --resource-group myRG, az vm list --subscription <sub-id>)
- timeout: Optional timeout in seconds (default: 120)
Example Usage:
{
"cli_command": "az aks list --resource-group myResourceGroup --output json"
}
Access Control: - readonly: Only read operations are allowed - readwrite/admin: Both read and write operations are allowed
Important: Commands must be simple Azure CLI invocations without shell features like pipes (|), redirects (>, <), command substitution, or semicolons (;).
AKS Cluster Management (Legacy Tool)
Tool: az_aks_operations (available when USE_LEGACY_TOOLS=true)
Unified tool for managing Azure Kubernetes Service (AKS) clusters and related operations.
Available Operations:
show: Show cluster detailslist: List clusters in subscription/resource groupget-versions: Get available Kubernetes versionscheck-network: Perform outbound network connectivity checknodepool-list: List node pools in clusternodepool-show: Show node pool detailsaccount-list: List Azure subscriptions
Read-Write (readwrite/admin access levels):
create: Create new clusterdelete: Delete clusterscale: Scale cluster node countstart: Start a stopped clusterstop: Stop a running clusterupdate: Update cluster configurationupgrade: Upgrade Kubernetes versionnodepool-add: Add node pool to clusternodepool-delete: Delete node poolnodepool-scale: Scale node poolnodepool-upgrade: Upgrade node poolaccount-set: Set active subscriptionlogin: Azure authentication
Admin-Only (admin access level):
get-credentials: Get cluster credentials for kubectl accessNetwork Resource Management
Tool: aks_network_resources
Unified tool for getting Azure network resource information used by AKS clusters.
Available Resource Types:
all: Get information about all network resourcesvnet: Virtual Network informationsubnet: Subnet informationnsg: Network Security Group informationroute_table: Route Table informationload_balancer: Load Balancer informationprivate_endpoint: Private endpoint informationMonitoring and Diagnostics
Tool: aks_monitoring
Unified tool for Azure monitoring and diagnostics operations for AKS clusters.
Available Operations:
metrics: List metric values for resourcesresource_health: Retrieve resource health events for AKS clustersapp_insights: Execute KQL queries against Application Insights telemetry datadiagnostics: Check if AKS cluster has diagnostic settings configuredcontrol_plane_logs: Query AKS control plane logs with safety constraints
and time range validationCompute Resources
Tool: get_aks_vmss_info
Tool: collect_aks_node_logs
Collect system logs from AKS VMSS nodes for debugging and troubleshooting.
Parameters:
- aks_resource_id: AKS cluster resource ID
- vmss_name: VMSS name (obtain from get_aks_vmss_info or kubectl get nodes)
- instance_id: VMSS instance ID
- log_type: Type of logs to collect (kubelet, containerd, kernel, syslog)
- lines: Number of recent log lines to return (default: 500, max: 2000)
- since: Time range for logs (e.g., 1h, 30m, 2d) - takes precedence over lines
- level: Log level filter (ERROR, WARN, INFO)
- filter: Filter logs by keyword (case-insensitive text match)
Example Usage:
{
"aks_resource_id": "/subscriptions/.../managedClusters/myAKS",
"vmss_name": "aks-nodepool1-12345678-vmss",
"instance_id": "0",
"log_type": "kubelet",
"since": "1h",
"level": "ERROR",
"filter": "ImagePullBackOff"
}
Limitations: - Only supports Linux VMSS nodes (Windows nodes and standalone VMs are not supported yet) - Only one run command can execute at a time per VMSS instance
Tool: az_compute_operations
Unified tool for managing Azure Virtual Machines (VMs) and Virtual Machine Scale Sets (VMSS) used by AKS.
Available Operations:
show: Get details of a VM/VMSSlist: List VMs/VMSS in subscription or resource groupget-instance-view: Get runtime statusstart: Start VMstop: Stop VMrestart: Restart VM/VMSS instancesreimage: Reimage VMSS instances (VM not supported for reimage)Resource Types: vm (single virtual machines), vmss (virtual machine scale sets)
Fleet Management
Tool: az_fleet
Comprehensive Azure Fleet management for multi-cluster scenarios.
Available Operations:
Supports both Azure Fleet management and Kubernetes ClusterResourcePlacement CRD operations.
Diagnostic Detectors
Tool: aks_detector
Unified tool for executing AKS diagnostic detector operations.
Available Operations:
list: List all available AKS cluster detectorsrun: Run a specific AKS diagnostic detectorrun_by_category: Run all detectors in a specific categoryParameters:
operation (required): Operation to perform (list, run, or run_by_category)aks_resource_id (required): AKS cluster resource IDdetector_name (required for run operation): Name of the detector to runcategory (required for run_by_category operation): Detector categorystart_time (required for run and run_by_category operations): Start time in UTC ISO format (within last 30 days)end_time (required for run and run_by_category operations): End time in UTC ISO format (within last 30 days, max 24h from start)Available Categories:
Example Usage:
{
"operation": "list",
"aks_resource_id": "/subscriptions/xxx/resourceGroups/xxx/providers/Microsoft.ContainerService/managedClusters/xxx"
}
{
"operation": "run",
"aks_resource_id": "/subscriptions/xxx/resourceGroups/xxx/providers/Microsoft.ContainerService/managedClusters/xxx",
"detector_name": "node-health-detector",
"start_time": "2025-01-15T10:00:00Z",
"end_time": "2025-01-15T12:00:00Z"
}
Azure Advisor
Tool: aks_advisor_recommendation
Retrieve and manage Azure Advisor recommendations for AKS clusters.
Available Operations:
list: List recommendations with filtering optionsreport: Generate recommendation reportsKubernetes Operations
Note: All Kubernetes tools (kubectl, helm, cilium, hubble) are enabled by default. Use --enabled-components to selectively enable specific components.
Tool: call_kubectl (default, available when USE_LEGACY_TOOLS is not set or set to false)
Unified tool for executing kubectl commands directly. This tool provides a flexible interface to run any kubectl command with full argument support.
Parameters:
- args: The kubectl command arguments (e.g., get pods, describe node mynode, apply -f deployment.yaml)
Example Usage:
{
"args": "get pods -n kube-system -o wide"
}
Access Control: Operations are restricted based on the configured access level: - readonly: Only read operations (get, describe, logs, etc.) are allowed - readwrite/admin: All operations including mutating commands (create, delete, apply, etc.)
Available when USE_LEGACY_TOOLS=true:
kubectl_resources: View resources (get, describe) - filtered to read-only operations in readonly modekubectl_diagnostics: Debug and diagnose (logs, events, top, exec, cp)kubectl_cluster: Cluster information (cluster-info, api-resources, api-versions, explain)kubectl_config: Configuration management (diff, auth, config) - filtered to read-only operations in readonly mode
Read-Write/Admin (readwrite/admin access levels):
kubectl_resources: Full resource management (get, describe, create, delete, apply, patch, replace, cordon, uncordon, drain, taint)kubectl_workloads: Workload lifecycle (run, expose, scale, autoscale, rollout)kubectl_metadata: Metadata management (label, annotate, set)kubectl_config: Full configuration management (diff, auth, certificate, config)Tool: call_helm
Helm package manager for Kubernetes.
**To
$ claude mcp add aks-mcp \
-- python -m otcore.mcp_server <graph>