What are the prerequisites?
JDK 17 or later, Maven 3.8 or later, and a Kubernetes cluster (e.g., Minikube) with a configured `~/.kube/config` file.
Kubernetes AI Management System MCP Server
@hariohmprasath
Basic information
About Kubernetes AI Management System MCP Server
AI-Powered Kubernetes Management System: A platform combining natural language processing with Kubernetes management. Users can perform real-time diagnostics, resource monitoring, and smart log analysis. It simplifies Kubernetes management through conversational AI, providing a m
Kubernetes AI Management System MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryKubernetes AI Management System MCP Server tools
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Overview
What is Kubernetes AI Management System?
Kubernetes AI Management System is an AI-powered tool that combines natural language processing with Kubernetes management. It provides real-time diagnostics, resource monitoring, and smart log analysis through an MCP server and an agent with a REST API, allowing users to manage clusters using conversational queries.
How to use Kubernetes AI Management System?
Install JDK 17+, Maven 3.8+, and configure a Kubernetes cluster with a valid ~/.kube/config file. Build all modules with mvn clean package, then run either the MCP server (java -jar mcp-server/target/mcp-server-1.0-SNAPSHOT.jar) or the agent (java -jar agent/target/agent-*-fat.jar). For a quick local test, set up Minikube and deploy a test workload.
Key features of Kubernetes AI Management System
- Cluster health diagnostics and resource monitoring
- Network analysis (logs, ingresses, services)
- Storage management (PVs, PVCs, storage classes)
- Job and CronJob analysis and history
- Helm release management (list, upgrade, rollback)
- Conversational AI interface for natural language queries
Use cases of Kubernetes AI Management System
- Check overall cluster health and identify failing pods
- Monitor resource usage and detect abnormal restarts
- Analyze network endpoints and exposed services
- Manage persistent volumes and storage claims
- Troubleshoot jobs and upgrade Helm releases via natural language
Frequently asked questions
How do I set up a local cluster for testing?
Install Minikube, start it with `minikube start`, and create a deployment (e.g., `kubectl create deployment nginx --image=nginx:latest`). Ensure `kubectl config use-context minikube` is set.
How can I integrate the MCP server with Claude Desktop?
Refer to the `mcp-server/README.md` file for detailed integration instructions.
How do I run the agent in agent mode?
Execute `java -jar agent/target/agent-*-fat.jar` after building the project.
Does the system store any data?
The system uses the kubeconfig file from `~/.kube/config` to access cluster resources; no other data storage is mentioned.
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