AI-powered assistant that enables natural language interactions with Kubernetes clusters. Simplifies DevOps workflows using Model Context Protocol
If you already use Kubernetes AI Ops Agent, the kubernetes ai ops agent mcp server is the piece that lets your assistant work with it directly. AI-powered assistant that enables natural language interactions with Kubernetes clusters. Simplifies DevOps workflows using Model Context Protocol (MCP) servers for executing K8s operations through conversational interfaces.
Kubernetes AI Ops Agent is an intelligent agent that helps DevOps engineers and Kubernetes administrators manage Kubernetes clusters through conversational interfaces. The project leverages Large Language Models (LLMs) to interpret user intents and execute Kubernetes operations using specialized MCP (Model Context Protocol) servers.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Troubleshooting — The Troubleshooting tool exposed by this serverConfiguration is passed through the environment: AZURE_OPENAI_API_KEY, YOUR_AZURE_OPENAI_API_KEY, OPENAI_API_KEY, YOUR_OPENAI_API_KEY, PROMETHEUS_URL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
The server ships on npm as @kubernetes-ai/mcp-server-kubernetes, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
This sits in the cloud and infrastructure group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Kubernetes AI Ops Agent's toolset — Troubleshooting — is a fair guide to whether it matches your workflow. It is maintained by jhzhu89; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Kubernetes AI Ops Agent's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Troubleshooting | The Troubleshooting tool exposed by this server. |
{
"mcpServers": {
"kubernetes-ai-ops-agent": {
"command": "npx",
"args": ["-y", "@kubernetes-ai/mcp-server-kubernetes"],
"env": {
"AZURE_OPENAI_API_KEY": "your-value",
"YOUR_AZURE_OPENAI_API_KEY": "your-value",
"OPENAI_API_KEY": "your-value",
"YOUR_OPENAI_API_KEY": "your-value",
"PROMETHEUS_URL": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| AZURE_OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| YOUR_AZURE_OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| YOUR_OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| PROMETHEUS_URL | Endpoint or connection string the server talks to. | Yes |
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.
AWS Labs' official server suite — current AWS docs, CDK guidance, cost analysis and service tools.
Cloud browsers for AI agents — automation sessions that run in Browserbase's fleet, not on your machine.
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.