Question 1

What is k8s_pilot?

Accepted Answer

k8s_pilot is a lightweight, centralized control plane server for managing multiple Kubernetes clusters at once. It provides a single interface to observe and control all your clusters.

Question 2

What are the prerequisites for using k8s_pilot?

Accepted Answer

You need Python 3.13 or higher, the `uv` package manager, and access to your Kubernetes clusters (either through `~/.kube/config` or in-cluster configuration).

Question 3

How do I install k8s_pilot?

Accepted Answer

Clone the repository from GitHub, navigate to the cloned directory, and run `uv run --with mcp[cli] mcp run k8s_pilot.py`.

Question 4

How can I use k8s_pilot with Claude Desktop?

Accepted Answer

Add a configuration to Claude's settings that specifies the command and arguments to run the k8s_pilot MCP server. Ensure the path to the cloned repository is correctly specified in the configuration.

Question 5

What is MCP and how does k8s_pilot use it?

Accepted Answer

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. k8s_pilot is powered by MCP, allowing it to interact with AI models like Claude and provide context-aware operations.

Question 6

What Kubernetes resources can I manage with k8s_pilot?

Accepted Answer

You can manage Deployments, Services, Pods, ConfigMaps, Secrets, Ingresses, StatefulSets, DaemonSets, Roles, ClusterRoles, PersistentVolumes, and Claims.

Question 7

Can I create and delete namespaces with k8s_pilot?

Accepted Answer

Yes, you can create and delete namespaces, list all resources in a namespace, and manage labels and resource quotas.

Question 8

What node management features does k8s_pilot offer?

Accepted Answer

You can view node details, cordon/uncordon nodes, label/taint nodes, and list pods per node.

Question 9

Where can I find the license information for k8s_pilot?

Accepted Answer

The project is licensed under the MIT License. You can find the details in the LICENSE file in the repository.

Question 10

How does k8s_pilot integrate with UBOS?

Accepted Answer

k8s_pilot integrates with UBOS by providing a streamlined way to manage the Kubernetes infrastructure used for deploying and scaling AI Agents. UBOS can leverage k8s_pilot's API to automate deployments, monitor agent health, and manage resources efficiently.

k8s-pilot

Resources

Project Details

Recomended MCP Servers

Featured Templates

AI Chatbot Starter Kit

Python Bug Fixer

AI Video Generator

Sarcastic AI Chat Bot

Talk with Claude 3

Multi-language AI Translator

Start your free trial