Manage Kubernetes clusters, pods, deployments, and services
The Kubernetes MCP Server lets your AI assistant manage Kubernetes clusters, pods, deployments, services, and other resources. It provides tools for inspecting cluster state, reading logs, managing deployments, and debugging workloads.
Built by the community (Flux159), this server connects to Kubernetes clusters using your existing kubeconfig. It supports common kubectl operations translated into structured MCP tools for AI interaction.
Designed for DevOps engineers and platform teams who want AI-assisted cluster management, pod debugging, and Kubernetes resource exploration.
Add this to your MCP configuration file:
{
"mcpServers": {
"kubernetes": {
"env": {},
"args": [
"-y",
"mcp-server-kubernetes"
],
"command": "npx"
}
}
}Valid MCP server (2 strong, 1 medium validity signals). 1 known CVE in dependencies Package registry verified. Imported from the Official MCP Registry.
7 tools verified · Open access · 2 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
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