1. Create [kube-config](https://kubernetes.io/docs/concepts/configuration/organize-cluster-access-kubeconfig/) for accessing kubernetes cluster. 2.
Mcp k8s mcp server connects MCP K8s to AI assistants that speak the Model Context Protocol. 1. Create kube-config for accessing kubernetes cluster. 2. Build a docker image using Dockerfile. docker build . -t mcp:0.0.1.
docker build . -t mcp:0.0.1Setup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.
Cloud and DevOps servers put infrastructure on speaking terms with your assistant, so "why is this broken?" is answered from real state rather than a generic checklist. MCP K8s sits in that group. Worth comparing against the other cloud devops servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
{
"mcpServers": {
"k8s-mcp": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"mcp:0.0.1",
"uv",
"run",
"src/main.py"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
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.