A Model Context Protocol (MCP) server that enables AI assistants to interact with Kubernetes clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and Kubernetes, translating natural language requests into Kubernetes operations and returning the results in a format the AI tools can understand.
Overview
What is MCP Kubernetes Server?
MCP Kubernetes Server is a tool designed to manage Kubernetes clusters using the kubectl command-line interface.
How to use MCP Kubernetes Server?
To use MCP Kubernetes Server, you need to install it by configuring your mcpServers in a JSON format and executing the command uvx mcp-kubernetes-server.
Key features of MCP Kubernetes Server?
- Simplifies the management of Kubernetes clusters.
- Integrates with kubectl for seamless operations.
- Supports configuration through JSON for easy setup.
Use cases of MCP Kubernetes Server?
- Managing multiple Kubernetes clusters efficiently.
- Automating deployment processes in Kubernetes environments.
- Streamlining operations for DevOps teams working with Kubernetes.
FAQ from MCP Kubernetes Server?
- What is the license for MCP Kubernetes Server?
MCP Kubernetes Server is licensed under the Apache-2.0 license.
- Is MCP Kubernetes Server free to use?
Yes! MCP Kubernetes Server is free to use for everyone.
- What programming language is used for MCP Kubernetes Server?
MCP Kubernetes Server is developed in Python.