k8s-aiops
Governed Kubernetes operations for AI agents with 15 MCP tools, audit logging, policy engine, and safety features.
README
<!-- mcp-name: io.github.AIops-tools/k8s-aiops -->
k8s-aiops (preview)
Disclaimer: This is a community-maintained open-source project and is not affiliated with, endorsed by, or sponsored by the Cloud Native Computing Foundation, the Kubernetes project, or k3s/Rancher. "Kubernetes" and "k3s" are trademarks of their respective owners. Source code is publicly auditable at github.com/AIops-tools/K8s-AIops under the MIT license.
Governed Kubernetes operations for AI agents — 15 MCP tools, every one wrapped
with the bundled @governed_tool harness: a local unified audit log under
~/.k8s-aiops/, policy engine, token/runaway budget guard, undo-token recording, and
graduated-autonomy risk tiers.
Standalone: the governance harness is bundled in the package (
k8s_aiops.governance) — k8s-aiops has no external skill-family dependency. Preview: common cluster operations, not yet exhaustive.
What works
Any cluster a kubeconfig can reach: standard Kubernetes, k3s, EKS, GKE, AKS, kind, minikube. Authentication (client certs, tokens, EKS/GKE/AKS exec plugins) is delegated entirely to the kubeconfig.
Quick Start
uv tool install k8s-aiops
# Uses your current kube-context out of the box:
k8s-aiops doctor
k8s-aiops pod list
k8s-aiops deployment list -n default
To define named targets (multiple clusters/contexts), create
~/.k8s-aiops/config.yaml:
targets:
- name: prod # used as -t prod
context: prod-eks # a context in your kubeconfig (omit for current-context)
namespace: default # optional default namespace
# kubeconfig: /path/to/alt/kubeconfig # optional explicit path
- name: lab
context: k3s-lab
No secrets live in this file — credentials come from the kubeconfig.
MCP
{
"command": "k8s-aiops",
"args": ["mcp"],
"env": { "K8S_AIOPS_CONFIG": "~/.k8s-aiops/config.yaml" }
}
Audit & Safety
- Every tool call is logged to
~/.k8s-aiops/audit.db(local SQLite; relocate withK8S_AIOPS_HOME). - Reversible writes record an inverse undo descriptor (
scale_deployment→ scale-back to previous;cordon_node↔uncordon_node). delete_deploymentisrisk_level=high; CLI destructive commands require double confirmation and support--dry-run.- All API text passes through
sanitize()(prompt-injection defense).
See skills/k8s-aiops/SKILL.md and SECURITY.md for details.
Companion Skills
| If you want… | Use |
|---|---|
| Kubernetes pods / deployments / nodes | k8s-aiops (this) |
| Hypervisor VM lifecycle | a hypervisor ops skill |
| Backup & restore | a backup ops skill |
Contributing & feature requests
This is a preview — coverage is intentionally focused. Missing a device, action, or feature you need? Open an issue or pull request at github.com/AIops-tools/K8s-AIops — feature requests, contributions, and comments are all welcome.
License
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