K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments
K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments
pip install k8s-mcp-serverAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"alexei-led-k8s-mcp-server-github": {
"command": "uvx",
"args": [
"pip install k8s-mcp-server"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from k8s?"
No configuration required. This server works out of the box.
"What resources are available in k8s?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in k8s"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in k8s with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.