Kubernetes AI Management System
by hariohmprasath
This project combines the power of AI with Kubernetes management, allowing users to perform real-time diagnostics, resource monitoring, and smart log analysis. It simplifies Kubernetes management through conversational AI, providing a modern alternative to traditional command-line interactions.
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What is Kubernetes AI Management System?
The Kubernetes AI Management System is a project that integrates AI with Kubernetes to simplify cluster management. It provides an agent and MCP server that allows users to interact with their Kubernetes cluster using natural language queries, enabling real-time diagnostics, resource monitoring, and smart log analysis.
How to use Kubernetes AI Management System?
To use the system, you first need to build the project using Maven. Then, you can run either the MCP server or the agent directly. The MCP server can be integrated with tools like Claude Desktop. The agent can be accessed via a Rest API. Prerequisites include JDK 17+, Maven 3.8+, and a configured Kubernetes cluster (e.g., Minikube).
Key features of Kubernetes AI Management System
Cluster Health and Diagnostics via natural language
Network Analysis via natural language
Storage Management via natural language
Job and CronJob Analysis via natural language
Helm Release Management via natural language
Agent mode with Rest API
MCP server integration with tools like Claude Desktop
Real-time diagnostics, resource monitoring, and smart log analysis
Use cases of Kubernetes AI Management System
Diagnosing cluster health issues using natural language queries.
Analyzing network configurations and troubleshooting network problems.
Monitoring storage usage and identifying potential storage bottlenecks.
Managing and monitoring Kubernetes jobs and CronJobs.
Managing Helm releases and configurations.
Automated cluster analysis and reporting.
Simplifying Kubernetes operations for users without extensive command-line knowledge.
FAQ from Kubernetes AI Management System
What is the MCP server?
What is the MCP server?
The MCP server is a module that can be integrated with MCP hosts (like Claude desktop) to provide a full AI-powered Kubernetes management experience.
What is the agent?
What is the agent?
The agent is a module that provides a Rest API for analyzing the Kubernetes cluster using natural language.
What are the prerequisites for running this system?
What are the prerequisites for running this system?
You need JDK 17 or later, Maven 3.8 or later, and a configured Kubernetes cluster (e.g., Minikube).
How do I build the project?
How do I build the project?
Use the command mvn clean package to build all modules.
How do I run the MCP server?
How do I run the MCP server?
Use the command java -jar mcp-server/target/mcp-server-1.0-SNAPSHOT.jar.