Kubernetes AI Management System MCP Server

@hariohmprasath

リポジトリ

基本情報

カテゴリ

クラウドとインフラ

ライセンス

MIT

トランスポート

stdio

作者

hariohmprasath

Kubernetes AI Management System MCP Server について

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 #mcp-server #natural-language-processing

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概要

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

よくある質問

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.

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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