MimiOps mcp server for Kubernetes
MimiOps is an opinionated MCP server for Kubernetes
18 stars
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MimiOps mcp server for Kubernetes tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.10 · 2026-10-30 · same rubric, same numbers if you re-run it
- –Code scanpackage could not be scannedn/a
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 29 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How MimiOps mcp server for Kubernetes compares
Against every graded Developer tools MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 88/100
- higher than 75% of 1,119 Developer tools servers
- GitHub stars
- 18
- more than 87% of 856 Developer tools servers
Release history: 2 versions in the registry since 2026-08-30, latest 2026-09-30, typically one every 31 days.
Install MimiOps mcp server for Kubernetes in Claude Code, Cursor or VS Code
claude mcp add mimiops-mcp -- docker run -i --rm ghcr.io/sergelogvinov/mimiops-mcp:v0.5.0
What the publisher says
From the MimiOps mcp server for Kubernetes repository's README, as published. We do not edit it. Read it on GitHub
Mimiops MCP Server
Motivation
There are many ways to manage Kubernetes workloads, but there are also many ways to break them by accident. We have already seen cases where AI agents did something that we did not expect. Giving an AI agent full access to Kubernetes can be risky, especially when it can create, update, or delete resources directly.
In my opinion, we need to provide safe and well-defined tools for AI agents. These tools should limit what an agent can do, validate changes before applying them, and help prevent dangerous operations.
We also need tools that can help investigate and fix workload issues. Many workloads are already managed by well-known tools such as Argo CD, FluxCD, Helm, and other GitOps or deployment systems. An AI agent should understand who manages a resource and avoid making direct changes that can conflict with these tools.
The goal is not to give AI full control of Kubernetes. The goal is to give AI a safe interface that allows it to understand problems, suggest changes, and perform only controlled operations.
Overview
Mimi OPS is not designed to give AI agents unrestricted Kubernetes access. Instead, it provides a small set of well-known and controlled operations.
The agent can observe, investigate, and perform a limited number of safe recovery actions. More dangerous operations, such as editing arbitrary resources, applying YAML, changing secrets, or deleting persistent data are strongly restricted.
This makes Mimi OPS an opinionated interface between AI agents and Kubernetes: powerful enough for common troubleshooting, but limited enough to reduce the risk of unexpected changes.
Keep your AI on the leash.
Kubernetes core tools
Core tools are always registered. The names below are the MCP tool names exposed by the server:
- Clusters: clusterslist (multi-cluster configurations only), clustersdescribe.
- Pods: podslist, podsget, podsdescribe, podslog.
- Jobs: jobslist, jobsget, jobsdescribe, jobslog, jobs_create.
- CronJobs: cronjobslist, cronjobsget, cronjobs_describe.
- Nodes: nodeslist, nodesget, nodes_describe.
- Namespaces: namespaceslist, namespacesdescribe.
- Resource configuration: resourcequotaslist, resourcequotasdescribe, limitrangeslist, limitrangesdescribe, storageclasseslist, persistentvolumeclaimslist, persistentvolumeclaimsdescribe, priorityclasseslist.
- Events: events_get.
- Workloads (Deployments, StatefulSets, and DaemonSets): workloadslist, workloadsget, workloads_describe.
- Autoscaling: hpalist, hpadescribe.
- Services: serviceslist, servicesdescribe.
The following additional recovery tools are registered only when --allow-destructive is enabled:
- pods_delete — delete a pod so its controller can recreate it.
- jobs_delete — delete a Job.
- cronjobssuspend, cronjobsresume — suspend or resume scheduled runs.
- workloads_scale — scale a Deployment, StatefulSet, or DaemonSet.
Helm extension
Helm tools are enabled by default with --extensions helm:
- helm_list — list Helm releases.
- helm_status — inspect release status, revision, and related information.
- helm_rollback — roll back a release to its previous revision; available only with --allow-destructive.
FluxCD extension
Enable FluxCD tools with --extensions fluxcd (or --extensions all). Read-only inspection tools include:
- GitRepository: fluxgitrepositorieslist, fluxgitrepositoriesdescribe.
- OCIRepository: fluxocirepositorieslist, fluxocirepositoriesdescribe.
- HelmRelease: fluxhelmreleaseslist, fluxhelmreleasesdescribe.
- Kustomization: fluxkustomizationslist, fluxkustomizationsdescribe.
With --allow-destructive, Flux also exposes:
- flux_reconcile — trigger an immediate reconciliation of a GitRepository, HelmRelease, or Kustomization.
- flux_reconciliation — suspend or resume a Flux HelmRelease or Kustomization.
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
MimiOps mcp server for Kubernetes: common questions
- Is MimiOps mcp server for Kubernetes safe?
- Yes, by our scan: it is graded A (88/100). Read the MimiOps mcp server for Kubernetes safety report
- How do I install MimiOps mcp server for Kubernetes?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does MimiOps mcp server for Kubernetes need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is MimiOps mcp server for Kubernetes maintained?
- The last commit was 35 days ago (2026-10-01). The latest release is v0.5.0.
- What can I use instead of MimiOps mcp server for Kubernetes?
- Servers from other publishers that do the same job: Kubernetes MCP server, Radar Kubernetes MCP Server and Dot AI MCP server.
- How does MimiOps mcp server for Kubernetes compare with other Developer tools MCP servers?
- safety score 88/100 (higher than 75% of 1,119 Developer tools servers); github stars 18 (more than 87% of 856 Developer tools servers). Full comparison.
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