The Central Pilot for Your Kubernetes Fleets ✈️✈️

k8s_pilot is a lightweight, centralized control plane server for managing multiple Kubernetes clusters at once.
With powerful tools and intuitive APIs, you can observe and control all your clusters from one cockpit.

🚀 Overview

• 🔄 Supports multi-cluster context switching
• 🔧 Enables CRUD operations on most common Kubernetes resources
• ⚙️ Powered by MCP for Claude AI and beyond

🧰 Prerequisites

• Python 3.13 or higher
• uv package manager
• Access to Kubernetes clusters (~/.kube/config or in-cluster config)

# Install uv (if not installed)
curl -LsSf https://astral.sh/uv/install.sh | sh

Installation

# Clone the repository
git clone https://github.com/bourbonkk/k8s-pilot.git
cd k8s-pilot

# Launch with uv + MCP
uv run --with mcp[cli] mcp run k8s_pilot.py

Usage with Claude Desktop

Use this config to run k8s_pilot MCP server from within Claude:

{
  "mcpServers": {
    "k8s_pilot": {
      "command": "uv",
      "args": [
        "--directory",
        "<path-to-cloned-repo>/k8s-pilot",
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "k8s_pilot.py"
      ]
    }
  }
}

Replace

Scenario

Create a Deployment using the nginx:latest image in the pypy namespace, and also create a Service that connects to it.

Key Features

Multi-Cluster Management

• Seamlessly interact with multiple Kubernetes clusters
• Perform context-aware operations
• Easily switch between clusters via MCP prompts

Resource Control

• View, create, update, delete:
  • Deployments, Services, Pods
  • ConfigMaps, Secrets, Ingresses
  • StatefulSets, DaemonSets
  • Roles, ClusterRoles
  • PersistentVolumes & Claims

Namespace Operations

• Create/delete namespaces
• List all resources in a namespace
• Manage labels and resource quotas

Node Management

• View node details and conditions
• Cordon/uncordon, label/taint nodes
• List pods per node

License

This project is licensed under the MIT License. See the LICENSE file for details.