k8s-ai
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AI-Powered Kubernetes Management (MCP + Agent)
The Kubernetes AI Management System is an innovative solution that integrates AI capabilities with Kubernetes management. It allows users to perform real-time diagnostics, resource monitoring, and smart log analysis using natural language queries. This system simplifies Kubernetes management by providing a conversational AI interface, making it easier for users to interact with their clusters without needing to memorize complex commands. The project is structured into modules including an agent mode with a REST API, an MCP server, and Kubernetes tools for cluster analysis and management.
Features
- Cluster Health and Diagnostics: Provides real-time insights into cluster status, pod health, resource usage, and node readiness.
- Network Analysis: Enables users to query logs, list ingresses, services, and endpoints, and check service endpoints.
- Storage Management: Allows users to manage persistent volumes, storage claims, and storage classes, and monitor storage capacity.
- Job and CronJob Analysis: Facilitates the management of jobs and CronJobs, including listing, scheduling, and execution history.
- Helm Release Management: Supports Helm release management, including listing releases, upgrading charts, and managing release history.
Tools
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