MCP Kubernetes Server

What is MCP Kubernetes Server?

MCP Kubernetes Server is a tool that allows users to manage Kubernetes clusters through natural language interactions with Large Language Models (LLMs) using the Model Context Protocol (MCP).

How to use MCP Kubernetes Server?

To use the MCP Kubernetes Server, you need to have access to a Kubernetes cluster configured via kubectl. You can interact with the server using natural language commands that are translated into Kubernetes operations.

Key features of MCP Kubernetes Server?

• Natural language interface for managing Kubernetes resources.
• Simplified command execution by wrapping kubectl commands.
• Context management and type-safe interactions with LLMs.
• Upcoming features for enhanced cluster management.

Use cases of MCP Kubernetes Server?

1. Creating and managing deployments in Kubernetes.
2. Scaling applications based on demand.
3. Retrieving cluster information and logs using conversational queries.
4. Integrating with LLMs for automated Kubernetes management.

FAQ from MCP Kubernetes Server?

• What is the Model Context Protocol (MCP)?
  MCP is a framework that enables structured interactions between language models and external tools, providing a standardized way to expose functionality.

• Do I need to install anything to use this server?
  Yes, you need to have Python 3.x and the MCP framework installed, along with access to a Kubernetes cluster.

• Can I contribute to the MCP Kubernetes Server?
  Yes! Contributions are welcome. You can fork the repository and submit a pull request with your changes.