AIops-tools/K8s-AIops

Overview

A Python-based Kubernetes operations toolkit exposing 15 MCP tools. It includes a governance harness with audit logging, budget controls, undo support, and risk-tier classification for operations.

Best for

Best for
Teams needing governed, auditable Kubernetes operations via MCP.

Use cases

• Run Kubernetes operations through MCP-compatible clients
• Apply risk-tiered guardrails to cluster commands
• Track and undo operational changes with audit trails

How to use

Tested with

Claude Code

Notes

A Python-based Kubernetes operations toolkit exposing 15 MCP tools. It includes a governance harness with audit logging, budget controls, undo support, and risk-tier classification for operations.

0 stars on GitHub. Last updated 2026-09-12. Licensed MIT.

Use cases

• Run Kubernetes operations through MCP-compatible clients
• Apply risk-tiered guardrails to cluster commands
• Track and undo operational changes with audit trails

Pros

• Built-in audit and undo for operational safety
• Risk-tiering helps match permissions to blast radius
• Standalone design avoids external dependencies

Cons

• No community adoption yet (0 stars)
• Vendor-neutral project with unclear maintenance status
• Requires an MCP-compatible client to use

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.