Kubernetes MCP Server

What is Kubernetes MCP Server?

Kubernetes MCP Server is a lightweight server that provides natural language processing and API access to Kubernetes clusters, allowing users to interact with Kubernetes using plain English queries.

How to use Kubernetes MCP Server?

To use the server, clone the repository, set up a virtual environment, and install the required dependencies. Then, configure your AI assistant to connect to the MCP server.

Key features of Kubernetes MCP Server?

• Natural Language Interface: Convert plain English queries to kubectl commands.
• Full CRUD Operations: Create, delete, inspect, and modify Kubernetes resources.
• Dual Execution Mode: Use both kubectl commands and the Kubernetes Python client.
• Advanced Capabilities: Namespace validation, label filtering, and automatic command fallback.

Use cases of Kubernetes MCP Server?

1. Simplifying Kubernetes management for users unfamiliar with command-line interfaces.
2. Automating resource management tasks in Kubernetes clusters.
3. Enhancing AI assistants with Kubernetes capabilities.

FAQ from Kubernetes MCP Server?

• Can I use Kubernetes MCP Server without prior Kubernetes knowledge?

Yes! The natural language interface is designed to help users interact with Kubernetes without needing to know the specific commands.

• What are the prerequisites for using this server?

You need Python 3.8+, access to a Kubernetes cluster, and kubectl configured locally.

• Is there a way to contribute to the project?

Yes! You can fork the project, create a feature branch, and submit a pull request with your changes.