mcp-kubernetes
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An experimental Model Context Protocol (MCP) server that exposes Kubernetes functionality to AI chat interfaces through kubectl.
The Kubernetes MCP Server is an innovative project that integrates Kubernetes with AI assistants, allowing them to analyze and manage cluster resources using familiar kubectl commands. Built on the mcpr project by @conikeec, this server provides a single kubectl tool that can execute any kubectl command, giving AI assistants full access to Kubernetes cluster capabilities. This integration enables AI to assist in resource discovery, troubleshooting, resource management, documentation, and security analysis. The server uses the default kubeconfig and kubectl installation, requiring appropriate permissions to execute commands. Security considerations include running with appropriate RBAC permissions, implementing command validation, and monitoring command execution.
Features
- Resource Discovery: AI can list and describe resources using kubectl commands.
- Troubleshooting: AI helps analyze logs and resource states using kubectl.
- Resource Management: AI assists in creating or modifying resources.
- Documentation: AI explains what a particular resource does in the cluster.
- Security Analysis: AI identifies potential security issues in cluster configuration.