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Kubernetes

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Interact with Kubernetes clusters using natural language to manage and query resources.

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mcp-kubernetes

The mcp-kubernetes is a Model Context Protocol (MCP) server that enables AI assistants to interact with Kubernetes clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and Kubernetes, translating natural language requests into Kubernetes operations and returning the results in a format the AI tools can understand.

It allows AI tools to:

  • Query Kubernetes resources
  • Execute kubectl commands
  • Manage Kubernetes clusters through natural language interactions
  • Diagnose and interpret the states of Kubernetes resources

How it works

Available Tools

Unified Tool (Default)

By default, mcp-kubernetes uses a single unified call_kubectl tool that handles all kubectl operations. This approach significantly reduces context consumption compared to the legacy multi-tool approach.

call_kubectl - Execute kubectl commands

  • Available in: All access levels (operations filtered by access level)
  • Parameters:
    • command: The full kubectl command to execute including 'kubectl' prefix (e.g., "kubectl get pods -n default", "kubectl apply -f deployment.yaml")
  • Examples:
    Copy & paste — that's it
    # Get pods
command: "kubectl get pods -n default"

# Apply configuration
command: "kubectl apply -f deployment.yaml"

# Scale deployment
command: "kubectl scale deployment nginx --replicas=3"

Legacy Tools (Optional)

When USE_LEGACY_TOOLS=true, the mcp-kubernetes server provides multiple specialized kubectl tools that group related operations together. Tools are automatically filtered based on your access level.

Kubectl Tools

<details> <summary><b>kubectl_resources</b> - Manage Kubernetes resources</summary>

Available in: readonly, readwrite, admin

Handles CRUD operations on Kubernetes resources and node management. In readonly mode, only supports get and describe operations. Node operations (cordon, uncordon, drain, taint) are available in admin mode only.

Parameters:

  • operation: The operation to perform (get, describe, create, delete, apply, patch, replace, cordon, uncordon, drain, taint)
  • resource: The resource type (e.g., pods, deployments, services, nodes) or empty for file-based operations
  • args: Additional arguments like resource names, namespaces, and flags

Examples:

Copy & paste — that's it
# Get all pods
operation: "get"
resource: "pods"
args: "--all-namespaces"

# Apply a configuration
operation: "apply"
resource: ""
args: "-f deployment.yaml"

# Drain a node (admin only)
operation: "drain"
resource: "node"
args: "worker-1 --ignore-daemonsets"

# Add a taint (admin only)
operation: "taint"
resource: "nodes"
args: "worker-1 key=value:NoSchedule"
</details> <details> <summary><b>kubectl_workloads</b> - Manage workload deployments</summary>

Available in: readwrite, admin

Manages deployment lifecycle operations including scaling and rollouts.

Parameters:

  • operation: The operation to perform (run, expose, scale, autoscale, rollout)
  • resource: For rollout operations, the subcommand (status, history, undo, restart, pause, resume)
  • args: Additional arguments

Examples:

Copy & paste — that's it
# Scale a deployment
operation: "scale"
resource: "deployment"
args: "nginx --replicas=3"

# Check rollout status
operation: "rollout"
resource: "status"
args: "deployment/nginx"
</details> <details> <summary><b>kubectl_metadata</b> - Manage resource metadata</summary>

Available in: readwrite, admin

Updates labels, annotations, and other metadata on resources.

Parameters:

  • operation: The operation to perform (label, annotate, set)
  • resource: The resource type
  • args: Resource name and metadata changes

Examples:

Copy & paste — that's it
# Add a label
operation: "label"
resource: "pods"
args: "nginx-pod app=web"

# Set image
operation: "set"
resource: "image"
args: "deployment/nginx nginx=nginx:latest"
</details> <details> <summary><b>kubectl_diagnostics</b> - Debug and monitor resources</summary>

Available in: readonly, readwrite, admin

Provides debugging and monitoring capabilities.

Parameters:

  • operation: The operation to perform (logs, events, top, exec, cp)
  • resource: The resource type or specific resource
  • args: Additional arguments

Examples:

Copy & paste — that's it
# View logs
operation: "logs"
resource: ""
args: "nginx-pod -f"

# Execute command in pod
operation: "exec"
resource: ""
args: "nginx-pod -- ls /app"
</details> <details> <summary><b>kubectl_cluster</b> - View cluster information</summary>

Available in: readonly, readwrite, admin

Provides cluster-level information and API discovery.

Parameters:

  • operation: The operation to perform (cluster-info, api-resources, api-versions, explain)
  • resource: For explain operation, the resource to document
  • args: Additional flags

Examples:

Copy & paste — that's it
# Get cluster info
operation: "cluster-info"
resource: ""
args: ""

# Explain pod spec
operation: "explain"
resource: "pod.spec"
args: "--recursive"
</details> <details> <summary><b>kubectl_config</b> - Configuration and security</summary>

Available in: readonly, readwrite, admin

Handles configuration validation, security operations, and kubectl context management. In readonly mode, supports diff, auth can-i, and read-only config operations.

Parameters:

  • operation: The operation to perform (diff, auth, certificate, config)
  • resource: Subcommand for auth/certificate/config operations
  • args: Operation-specific arguments

Examples:

Copy & paste — that's it
# Check permissions
operation: "auth"
resource: "can-i"
args: "create pods"

# Approve certificate
operation: "certificate"
resource: "approve"
args: "csr-name"

# Get current context
operation: "config"
resource: "current-context"
args: ""

# List all contexts
operation: "config"
resource: "get-contexts"
args: ""

# Switch context (readwrite/admin only)
operation: "config"
resource: "use-context"
args: "my-cluster-context"

Config Operations:

  • current-context: Display the current context (readonly, readwrite, admin)
  • get-contexts: List all available contexts (readonly, readwrite, admin)
  • use-context: Switch to a different context (readwrite, admin only)
</details>

Additional Tools

<details> <summary><b>call_helm</b> - Helm package manager</summary>

Available when: --additional-tools=helm is specified

Run Helm commands for managing Kubernetes applications.

Parameters:

  • command: The helm command to execute

Example:

Copy & paste — that's it
command: "list --all-namespaces"
</details> <details> <summary><b>call_cilium</b> - Cilium CNI commands</summary>

Available when: --additional-tools=cilium is specified

Run Cilium commands for network policies and observability.

Parameters:

  • command: The cilium command to execute

Example:

Copy & paste — that's it
command: "status"
</details> <details> <summary><b>call_hubble</b> - Hubble observability commands</summary>

Available when: --additional-tools=hubble is specified

Run Hubble commands for network monitoring and debugging in Cilium-enabled clusters.

Parameters:

  • command: The hubble command to execute

Example:

Copy & paste — that's it
command: "status"
command: "observe observe --namespace backend-jobs  --from-label 'app=web'"
command: "list nodes"
</details>

Telemetry

Telemetry collection is on by default.

To opt out, set the environment variable KUBERNETES_MCP_COLLECT_TELEMETRY=false.

OpenTelemetry Support

The mcp-kubernetes server supports exporting telemetry data using OpenTelemetry Protocol (OTLP). You can configure an OTLP endpoint to send traces to any OpenTelemetry-compatible backend:

Copy & paste — that's it
{
  "mcpServers": {
    "kubernetes": {
      "command": "mcp-kubernetes",
      "args": ["--otlp-endpoint", "localhost:4317"]
    }
  }
}

Development

How to inspect MCP server requests and responses:

Copy & paste — that's it
npx @modelcontextprotocol/inspector <path of binary 'mcp-kubernetes'>

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.