Install
$ agentstack add mcp-azure-aks-mcp Open-source listing, not yet scanned by AgentStack. Follow the source repository for install instructions.
Security review
⚠ Flagged1 finding(s); flagged for manual review. · v0.1.0 How review works →
- • Prompt-injection patterns
- • Secret / credential exfiltration
- • Dangerous shell & filesystem operations
- • Untrusted network calls
- • Known-malicious package signatures
- high Possible prompt-injection directive.
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
AKS-MCP
[](https://safeskill.dev/scan/azure-aks-mcp) 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:
- Operate (CRUD) AKS resources
- Retrieve details related to AKS clusters (VNets, Subnets, NSGs, Route Tables, etc.)
- Manage Azure Fleet operations for multi-cluster scenarios
How it works
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.
Azure CLI Authentication
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_IDenvironment 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_FILEenvironment 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_IDenvironment 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_IDENTITYis set tosystem, 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:
- If
AZURE_SUBSCRIPTION_IDis set, AKS-MCP will runaz account set --subscription SUBSCRIPTION_IDafter login.
Notes and security:
- The federated token file must be exactly
/var/run/secrets/azure/tokens/azure-identity-tokenand is strictly validated; other paths are rejected. - After each login, AKS-MCP verifies authentication with
az account show --query id -o tsv. - Ensure the Azure CLI is installed and on PATH.
Environment variables used:
AZURE_TENANT_IDAZURE_CLIENT_IDAZURE_CLIENT_SECRETAZURE_FEDERATED_TOKEN_FILEAZURE_SUBSCRIPTION_IDAZURE_MANAGED_IDENTITY(set tosystemto opt into system-assigned managed identity)
Available Tools
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:
- Navigate to your mcp.json file, or go to MCP: List Servers -> AKS-MCP -> Show Configuration Details in the Command Palette (For VSCode;
Ctrl+Shift+Pon Windows/Linux orCmd+Shift+Pon macOS). - In the "args" section of AKS-MCP, add the following parameters: "--access-level", "readwrite" / "admin"
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)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 (>,
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:
- Read-Only (all access levels):
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/adminaccess 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 (
adminaccess level): get-credentials: Get cluster credentials for kubectl access
Network 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 information
Monitoring 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 validation
Compute Resources
Tool: get_aks_vmss_info
- Get detailed VMSS configuration for node pools in the AKS cluster
Tool: collect_aks_node_logs
Collect system logs from AKS VMSS nodes for debugging and troubleshooting.
Parameters:
aks_resource_id: AKS cluster resource IDvmss_name: VMSS name (obtain fromget_aks_vmss_infoorkubectl get nodes)instance_id: VMSS instance IDlog_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 overlineslevel: 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:
- Fleet Operations: list, show, create, update, delete, get-credentials
- Member Operations: list, show, create, update, delete
- Update Run Operations: list, show, create, start, stop, delete
- Update Strategy Operations: list, show, create, delete
- ClusterResourcePlacement Operations: list, show, get, create, delete
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 category
Parameters:
operation(required): Operation to perform (list,run, orrun_by_category)aks_resource_id(required): AKS cluster resource IDdetector_name(required forrunoperation): Name of the detector to runcategory(required forrun_by_categoryoperation): Detector categorystart_time(required forrunandrun_by_categoryoperations): Start time in UTC ISO format (within last 30 days)end_time(required forrunandrun_by_categoryoperations): End time in UTC ISO format (within last 30 days, max 24h from start)
Available Categories:
- Best Practices
- Cluster and Control Plane Availability and Performance
- Connectivity Issues
- Create, Upgrade, Delete and Scale
- Deprecations
- Identity and Security
- Node Health
- Storage
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 reports- Filter Options: resourcegroup, clusternames, category (Cost,
HighAvailability, Performance, Security), severity (High, Medium, Low)
Kubernetes Operations
Note: All Kubernetes tools (kubectl, helm, cilium, hubble) are enabled by default. Use --enabled-components to selectively enable specific components.
Unified kubectl Tool (Default)
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.)
Legacy kubectl Tools (Specialized)
Available when USE_LEGACY_TOOLS=true:
- Read-Only (all access levels):
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/adminaccess 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)
Helm
Tool: call_helm
Helm package manager for Kubernetes.
Cilium
Tool: call_cilium
Cilium CLI for eBPF-based networking and security.
Hubble
Tool: call_hubble
Hubble network observability for Cilium.
Real-time Observability
Tool: inspektor_gadget_observability
Real-time observability tool for Azure Kubernetes Service (AKS) clusters using eBPF.
Available Actions:
deploy: Deploy Inspektor Gadget to clusterundeploy: Remove Inspektor Gadget from clusteris_deployed: Check deployment statusrun: Run one-shot gadgetsstart: Start continuous gadgetsstop: Stop running gadgetsget_results: Retrieve gadget resultslist_gadgets: List available gadgets
Available Gadgets:
observe_dns: Monitor DNS requests and responsesobserve_tcp: Monitor TCP connectionsobserve_file_open: Monitor file system operationsobserve_process_execution: Monitor process executionobserve_signal: Monitor signal deliveryobserve_system_calls: Monitor system callstop_file: Top files by I/O operationstop_tcp: Top TCP connections by traffictcpdump: Capture network packets
How to install
Prerequisites
- Set up Azure CLI and authenticate:
``bash az login ``
VS Code with GitHub Copilot (Recommended)
One-Click Installation with the AKS Extension
The easiest way to get started with AKS-MCP is through the Azure Kubernetes Service Extension for VS Code.
Step 1: Install the AKS Extension
- Open VS Code and go to Extensions (
Ctrl+Shift+Xon Windows/Linux orCmd+Shift+Xon macOS). - Search for Azure Kubernetes Service.
- Install the official Microsoft AKS extension.
Step 2: Launch the AKS-MCP Server
- Open the Command Palette (
Ctrl+Shift+Pon Windows/Linux orCmd+Shift+Pon macOS). - Search and run: AKS: Setup AKS MCP Server.
Upon successful installation, the server will now be visible in MCP: List Servers (via Command Palette). From there, you can start the MCP server or view its status.
Step 3: Start Using AKS-MCP
Once started, the MCP server will appear in the Copilot Chat: Configure Tools dropdown under MCP Server: AKS MCP, ready to enhance contextual prompts based on your AKS environment. By default, all AKS-MCP server tools are enabled. You can review the list of available tools and disable any that are not required for y
…
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Azure
- Source: Azure/aks-mcp
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.