🤖 AI-Powered Kubernetes Assistant with MCP
About
An AI‑driven Kubernetes assistant that uses the Model Context Protocol (MCP) to accept natural‑language queries and execute safe kubectl and helm commands. It provides a clean web UI, real‑time AI explanations, and a modular tool‑based architecture. Designed for developers and…
Explore
- Convert natural language into safe kubectl/helm commands
- Dynamic tool dispatching via MCP based on user intent
- Tools for logs, rollouts, scaling, port forwarding, and exec
- AI explanation of command outputs and Kubernetes objects
- Built‑in monitoring for pod health, node resources, cluster health
- Helm chart install, upgrade, and uninstall support
Send natural‑language queries through the web UI. The server exposes an /api/mcp endpoint that routes requests through the tool router and optionally the LLM (Groq/OpenAI). Tools are implemented in /tools and registered centrally in tool.ts. No manual command‑line configuration is required beyond starting the server.
naturalLanguageKubectl
Parse and run safe Kubernetes commands.
logsFetcher
Fetch pod logs.
rolloutChecker
Monitor deployment rollout status.
scaleDeployment
Scale deployments up/down.
namespaceAnalyzer
Analyze namespaces.
explain_kubectl_result
AI explanation of command outputs.
kubectlExplain
Explain Kubernetes object fields.
portForwardPod
Port forward from a pod to your local machine.
execCommandInPod
Execute shell commands in a pod.
getPodEvents
Get Kubernetes event history for a pod.
monitoringTool
Check pod health, node resource usage, cluster health, etc.
helmTool
Install, upgrade, or uninstall Helm charts.
createPodTool
Dynamically generate and deploy pods from templates or custom specs.
Each Kubernetes operation is modularized as a tool, invoked dynamically via MCP based on user intent.
naturalLanguageKubectl — Parse and run safe Kubernetes commands.
logsFetcher — Fetch pod logs.
rolloutChecker — Monitor deployment rollout status.
scaleDeployment — Scale deployments up/down.
namespaceAnalyzer — Analyze namespaces.
explain_kubectl_result — AI explanation of command outputs.
kubectlExplain — Explain Kubernetes object fields.
portForwardPod — Port forward from a pod to your local machine.
execCommandInPod — Execute shell commands in a pod.
getPodEvents — Get Kubernetes event history for a pod.
monitoringTool — Check pod health, node resource usage, cluster health, etc.
helmTool — Install, upgrade, or uninstall Helm charts.
createPodTool— Dynamically generate and deploy pods from templates or custom specs.
> 🗂 Tools are located in
/tools and registered centrally in tool.ts.
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An AI-driven Kubernetes assistant built using Model Context Protocol (MCP) that enables natural language interaction with your Kubernetes cluster. It supports dynamic tooling, safe command generation, Helm integration, and real-time AI explanations — all from a clean web UI.
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🚀 Key Features
🧠 Natural Language Kubernetes Control
Convert natural language queries into safe kubectl/helm commands using Groq/OpenAI (LLM).
Auto-validates generated commands (get, describe, logs, top, etc.).
Fallback mechanism for unsupported or unsafe commands.
🔧 Tool-Based Architecture
Each Kubernetes operation is modularized as a tool, invoked dynamically via MCP based on user intent.
🛠️ Available Tools
naturalLanguageKubectl — Parse and run safe Kubernetes commands.
logsFetcher — Fetch pod logs.
rolloutChecker — Monitor deployment rollout status.
scaleDeployment — Scale deployments up/down.
namespaceAnalyzer — Analyze namespaces.
explain_kubectl_result — AI explanation of command outputs.
kubectlExplain — Explain Kubernetes object fields.
portForwardPod — Port forward from a pod to your local machine.
execCommandInPod — Execute shell commands in a pod.
getPodEvents — Get Kubernetes event history for a pod.
monitoringTool — Check pod health, node resource usage, cluster health, etc.
helmTool — Install, upgrade, or uninstall Helm charts.
createPodTool — Dynamically generate and deploy pods from templates or custom specs.
> 🗂 Tools are located in /tools and registered centrally in tool.ts.
---
🧬 Architecture
User Query (UI)
↓
/api/mcp
↓
+-------------+
| MCPServer |
+-------------+
↓ ↘
Tool Router LLM Agent (Groq/OpenAI)
↓ ↓
Tool Handler → kubectl / helm
↓ ↓
Response (Optional AI Explanation)
↓
UI Renderer
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🧪 Example Prompts
General Use
"Get all pods not in running state."
"Show logs for pod nginx-deployment-abc123 in namespace default."
"Port-forward traefik pod port 80 to local port 8080."
"Explain what kubectl get namespaces shows."
Monitoring
"Check if any pods are failing their liveness probe."
"What is the current CPU and memory usage across nodes?"
- "List top resource-consuming pods."
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