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securityA
license-
qualityThis project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.
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MIT License
The k8s-pilot server provides a centralized control plane for managing multiple Kubernetes clusters with comprehensive operations on various resources.
- Multi-Cluster Management: List clusters, switch between contexts, and perform cluster-aware operations
- Resource Management: CRUD operations on Deployments, Services, Pods, ConfigMaps, Secrets, Ingresses, StatefulSets, DaemonSets, Roles, ClusterRoles, PersistentVolumes, Claims, ReplicaSets, and ServiceAccounts
- Namespace Operations: Create/delete namespaces, manage labels, set resource quotas, and list resources
- Node Management: View node details, manage labels and taints, cordon/uncordon nodes, and list pods per node
- Monitoring: Fetch logs for pods (with container specification and tailing options) and inspect detailed resource information
Enables management of multiple Kubernetes clusters simultaneously, including CRUD operations on common resources like Deployments, Services, Pods, ConfigMaps, Secrets, Ingresses, StatefulSets, DaemonSets, Roles, and PersistentVolumes, as well as namespace and node management operations.
Supports creating and managing NGINX deployments within Kubernetes clusters, including setting up NGINX containers and connecting them to services.
Enables operations within the PyPy namespace in Kubernetes clusters, allowing resource deployment and management specific to this namespace.
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
uvpackage manager- Access to Kubernetes clusters (
~/.kube/configor in-cluster config)
Installation
Usage with Claude Desktop
Use this config to run k8s_pilot MCP server from within Claude:
Replace with the actual directory where you cloned the repo.
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.
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hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Tools
A lightweight, centralized control plane server that enables management of multiple Kubernetes clusters simultaneously, supporting context switching and CRUD operations on common Kubernetes resources.
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