servers/ cloud-service/ k8s-aiops
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k8s AIops

Unverified Claim & verify → Cloud Service

Governed Kubernetes ops — 55 MCP tools with audit, budget, undo, risk-tier audit labels.

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Overview Installation

Overview

k8s AIops is a Model Context Protocol (MCP) server: Governed Kubernetes ops — 55 MCP tools with audit, budget, undo, risk-tier audit labels. In practice that means any MCP-compatible AI assistant can call k8s AIops's tools directly — the model decides when to use them in a conversation or agent run.

It runs locally: the Python package k8s-aiops (via uvx) speaks MCP over stdio on your machine. No credentials are required — it works out of the box. The current release is v0.12.0, published under the MIT license, with source at AIops-tools/K8s-AIops on GitHub.

k8s AIops is listed under Cloud Service on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain k8s AIops for AIops-tools, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

PyPI package — k8s-aiops · MCP over stdio
Open source — MIT license · AIops-tools/K8s-AIops
Topics — agent-skills, ai-ops, k3s, kubernetes, mcp

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "k8s_aiops": {
      "command": "uvx",
      "args": [
        "k8s-aiops"
      ]
    }
  }
}

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