aks-mcp

Tool: az_aks_operations

Unified tool for managing Azure Kubernetes Service (AKS) clusters and related operations.

Available Operations:

• Read-Only (all access levels):

  • show: Show cluster details
  • list: List clusters in subscription/resource group
  • get-versions: Get available Kubernetes versions
  • check-network: Perform outbound network connectivity check
  • nodepool-list: List node pools in cluster
  • nodepool-show: Show node pool details
  • account-list: List Azure subscriptions

• Read-Write (readwrite/admin access levels):

  • create: Create new cluster
  • delete: Delete cluster
  • scale: Scale cluster node count
  • update: Update cluster configuration
  • upgrade: Upgrade Kubernetes version
  • nodepool-add: Add node pool to cluster
  • nodepool-delete: Delete node pool
  • nodepool-scale: Scale node pool
  • nodepool-upgrade: Upgrade node pool
  • account-set: Set active subscription
  • login: Azure authentication

• Admin-Only (admin access level):

  • get-credentials: Get cluster credentials for kubectl access

Tool: az_network_resources

Unified tool for getting Azure network resource information used by AKS clusters.

Available Resource Types:

• all: Get information about all network resources
• vnet: Virtual Network information
• subnet: Subnet information
• nsg: Network Security Group information
• route_table: Route Table information
• load_balancer: Load Balancer information
• private_endpoint: Private endpoint information

Tool: az_monitoring

Unified tool for Azure monitoring and diagnostics operations for AKS clusters.

Available Operations:

• metrics: List metric values for resources
• resource_health: Retrieve resource health events for AKS clusters
• app_insights: Execute KQL queries against Application Insights telemetry data
• diagnostics: Check if AKS cluster has diagnostic settings configured
• control_plane_logs: Query AKS control plane logs with safety constraints and time range validation

Tool: get_aks_vmss_info

• Get detailed VMSS configuration for node pools in the AKS cluster

Tool: az_vmss_run-command_invoke (readwrite/admin only)

• Execute commands on Virtual Machine Scale Set instances

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.

Tool: list_detectors

• List all available AKS cluster detectors

Tool: run_detector

• Run a specific AKS diagnostic detector

Tool: run_detectors_by_category

• Run all detectors in a specific category
• Categories: Best Practices, Cluster and Control Plane Availability and Performance, Connectivity Issues, Create/Upgrade/Delete and Scale, Deprecations, Identity and Security, Node Health, Storage

Tool: az_advisor_recommendation

Retrieve and manage Azure Advisor recommendations for AKS clusters.

Available Operations:

• list: List recommendations with filtering options
• report: Generate recommendation reports
• Filter Options: resource_group, cluster_names, category (Cost, HighAvailability, Performance, Security), severity (High, Medium, Low)

Note: kubectl commands are available with all access levels. Additional tools require explicit enablement via --additional-tools

kubectl Commands (Read-Only):

• kubectl_get, kubectl_describe, kubectl_explain, kubectl_logs
• kubectl_api-resources, kubectl_api-versions, kubectl_diff
• kubectl_cluster-info, kubectl_top, kubectl_events, kubectl_auth

kubectl Commands (Read-Write/Admin):

• kubectl_create, kubectl_delete, kubectl_apply, kubectl_expose, kubectl_run
• kubectl_set, kubectl_rollout, kubectl_scale, kubectl_autoscale
• kubectl_label, kubectl_annotate, kubectl_patch, kubectl_replace
• kubectl_cp, kubectl_exec, kubectl_cordon, kubectl_uncordon
• kubectl_drain, kubectl_taint, kubectl_certificate

Additional Tools (Optional):

• helm: Helm package manager (requires --additional-tools helm)
• cilium: Cilium CLI for eBPF networking (requires --additional-tools cilium)

Tool: inspektor_gadget_observability

Real-time observability tool for Azure Kubernetes Service (AKS) clusters using eBPF.

Available Actions:

• deploy: Deploy Inspektor Gadget to cluster (requires readwrite/admin access)
• undeploy: Remove Inspektor Gadget from cluster (requires readwrite/admin access)
• is_deployed: Check deployment status
• run: Run one-shot gadgets
• start: Start continuous gadgets
• stop: Stop running gadgets
• get_results: Retrieve gadget results
• list_gadgets: List available gadgets

Available Gadgets:

• observe_dns: Monitor DNS requests and responses
• observe_tcp: Monitor TCP connections
• observe_file_open: Monitor file system operations
• observe_process_execution: Monitor process execution
• observe_signal: Monitor signal delivery
• observe_system_calls: Monitor system calls
• top_file: Top files by I/O operations
• top_tcp: Top TCP connections by traffic

Step 1: Download the Binary

Choose your platform and download the latest AKS-MCP binary:

Step 2: Configure VS Code

After downloading, create a .vscode/mcp.json file in your workspace root with the path to your downloaded binary.

Option A: Automated Setup Script

For quick setup, you can use these one-liner scripts that download the binary and create the configuration:

Windows (PowerShell):

# Download binary and create VS Code configuration
mkdir -p .vscode ; Invoke-WebRequest -Uri "https://github.com/Azure/aks-mcp/releases/latest/download/aks-mcp-windows-amd64.exe" -OutFile "aks-mcp.exe" ; @{servers=@{"aks-mcp-server"=@{type="stdio";command="$PWD\aks-mcp.exe";args=@("--transport","stdio")}}} | ConvertTo-Json -Depth 3 | Out-File ".vscode/mcp.json" -Encoding UTF8

macOS/Linux (Bash):

# Download binary and create VS Code configuration  
mkdir -p .vscode && curl -sL https://github.com/Azure/aks-mcp/releases/latest/download/aks-mcp-linux-amd64 -o aks-mcp && chmod +x aks-mcp && echo '{"servers":{"aks-mcp-server":{"type":"stdio","command":"'$PWD'/aks-mcp","args":["--transport","stdio"]}}}' > .vscode/mcp.json

Option B: Manual Configuration

✨ Simple Setup: Download the binary for your platform, then use the manual configuration below to set up the MCP server in VS Code.

Manual VS Code Configuration

You can configure the AKS-MCP server in two ways:

1. Workspace-specific configuration (recommended for project-specific usage):

Create a .vscode/mcp.json file in your workspace with the path to your downloaded binary:

{
  "servers": {
    "aks-mcp-server": {
      "type": "stdio",
      "command": "<enter the file path>",
      "args": [
        "--transport", "stdio"
      ]
    }
  }
}

2. User-level configuration (persistent across all workspaces):

For a persistent configuration that works across all your VS Code workspaces, add the MCP server to your VS Code user settings:

1. Open VS Code Settings (Ctrl+, or Cmd+,)
2. Search for "mcp" in the settings
3. Add the following to your User Settings JSON:

{
  "github.copilot.chat.mcp.servers": {
    "aks-mcp-server": {
      "type": "stdio",
      "command": "<enter the file path>",
      "args": [
        "--transport", "stdio"
      ]
    }
  }
}

Step 3: Load the AKS-MCP server tools to Github Copilot

1. If running on an older version of VS Code: restart VS Code i.e. close and reopen VS Code to load the new MCP server configuration.
2. Open GitHub Copilot in VS Code and switch to Agent mode
3. Click the Tools button or run /list in the Github Copilot window to see the list of available tools
4. You should see the AKS-MCP tools in the list
5. Try a prompt like: "List all my AKS clusters in subscription xxx"
6. The agent will automatically use AKS-MCP tools to complete your request

💡 Tip: If you don't see the AKS-MCP tools after restarting, check the VS Code output panel for any MCP server connection errors and verify your binary path in .vscode/mcp.json.

Note: Ensure you have authenticated with Azure CLI (az login) for the server to access your Azure resources.

For other MCP-compatible AI clients like Claude Desktop, configure the server in your MCP configuration:

{
  "mcpServers": {
    "aks": {
      "command": "<path of binary aks-mcp>",
      "args": [
        "--transport", "stdio"
      ]
    }
  }
}

🐋 Docker Installation

For containerized deployment, you can run AKS-MCP server using the official Docker image:

# Pull the latest official image
docker pull ghcr.io/azure/aks-mcp:latest

# Run with Azure CLI authentication (recommended)
docker run -i --rm ghcr.io/azure/aks-mcp:latest --transport stdio

Note: Ensure you have authenticated with Azure CLI (az login) on your host system before running the container.

🤖 Custom MCP Client Installation

You can configure any MCP-compatible client to use the AKS-MCP server by running the binary directly:

# Run the server directly
./aks-mcp --transport stdio

🔧 Manual Binary Installation

For direct binary usage without package managers:

1. Download the latest release from the releases page
2. Extract the binary to your preferred location
3. Make it executable (on Unix systems):

   chmod +x aks-mcp
   

4. Configure your MCP client to use the binary path