Kubernetes MCP servers
MCP servers that connect an AI agent to Kubernetes: pods, deployments and cluster state via the Kubernetes API. We have classified 59 so far, listed below and ranked by their independent trust score.
59 catalogued · how we score
Kubernetes at a glance
- Highest score
- 95 io.github.dockndevai/mcp-kubernetes
- Median score
- 37
- Scored
- 59 of 59
- Rescanned in 7 days
- 58
npm 22 · oci 18 · pypi 14 · remote 8 · mcpb 5 · figures as of 2026-09-20 13:30 UTC · how we score
All 59 by trust score Trust score 0–100
- npm 95
io.github.dockndevai/mcp-kubernetes
Kubernetes monitoring & ops for AI agents — safe-by-default access modes and guards.
- npm 90
io.github.rafaelgaspar/longhorn-mcp
MCP server for the Longhorn distributed storage manager API, with a --read-only mode.
- npm 83
Generate and edit AWS, Azure, GCP and Kubernetes architecture diagrams as editable draw.io files.
- npm 83
26 deterministic, offline pre-action safety gates for AI agents, each with a signed verdict.
- npm 79
io.github.apatilgtn/k8scortex-mcp
Kubernetes MCP server: 75 tools for GKE, AKS, EKS, RBAC, audit logging, GitOps, multi-cluster.
- remote 78
Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.
- npm 78
Read-only Model Context Protocol MCP server enabling code-driven AI analysis of Kubernetes clusters.
- npm 78
io.github.NotHarshhaa/devops-mcp
Unified MCP server for Kubernetes, ArgoCD, Prometheus, PagerDuty, and Loki
- pypi 77
MCP server for natural-language Kubernetes operations across single or multi-cluster environments.
- npm 76
MCP server and CLI that resolves config/env-var cascade across .env, docker-compose, and Kubernetes
- remote 74
Provides read access to your GKE and Kubernetes resources.
- npm · oci 72
OpenShift/Kubernetes cluster management via the oc CLI for MCP clients
- npm 68
io.github.jmshinhwa/cron-schedule-lint
Names every schedule line in the file you have open that fires at the wrong hour, twice, or never at
- npm 68
io.github.jmshinhwa/k8s-removed-api-lint
15 checks for the apiVersions kubectl no longer serves, on the manifest open in your editor
- npm 65
io.github.jmshinhwa/cloud-cost-landmine-lint
Names every line in the file you have open that starts a recurring cloud charge, with the published
- npm 64
io.github.jmshinhwa/cloud-manifest-audit-kit
For platform engineers on AKS: 28 rules naming every removed apiVersion, literal credential and :lat
- npm 64
io.github.jmshinhwa/ingress-nginx-retirement-lint
Names the Gateway API field that replaces each retired ingress-nginx annotation — or tells you there
- oci · pypi 64
io.github.ocm-mcp-server/ocm-mcp-server
Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, audit.
- oci · pypi 64
io.github.sandeepbazar/ocm-mcp-server
Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, audit.
- npm · oci · pypi 50
io.github.containers/kubernetes-mcp-server
A Model Context Protocol (MCP) server for Kubernetes and OpenShift
- npm 50
Dynamic pod spawner & proxy for ephemeral AI agent workspaces on Kubernetes without CRDs
- npm 49
io.github.dockndevai/mcp-openshift
Safe-by-default MCP for OpenShift / Kubernetes: projects, pods, logs, deployments, routes.
- npm 49
Operate self-hosted OpenClaw and Hermes agent fleets on Docker or Kubernetes from MCP clients.
- remote · oci 47
Manage Rackspace Spot Kubernetes Cloudspaces, node pools, and VMs from your AI assistant.
- oci · pypi 47
io.github.sophotechlabs/kube-lint-mcp
Validate Kubernetes manifests, Helm charts, Kustomize overlays, and FluxCD resources
- oci 44
io.github.garlicKim21/ratatosk-mcp
CNCF release intelligence: typed changes from release notes; check_stack compares versions locally.
- npm 39
Troubleshoot Kubernetes agentically: natural-language cluster diagnosis via ask_kubently
- pypi 39
io.github.Michael-WhiteCapData/WhiteCapData-Dev
Operate a k3s / Kubernetes cluster from your AI agent — safe-by-default MCP server.
- pypi 37
Governed Kubernetes ops — 55 MCP tools with audit, budget, undo, risk-tier audit labels.
- pypi 37
AI-powered SRE observability for Kubernetes/OpenShift with 40+ Tekton debugging tools
- oci · pypi 37
Secure Kubernetes MCP server: scoped, redacted diagnostics and human-approved writes
- npm 37
AI-powered development platform for Kubernetes deployments and intelligent automation
- pypi 37
VMware AVI (NSX ALB) load balancer plus AKO Kubernetes ops — 28 MCP tools.
- npm 36
TypeScript MCP server for AI-powered containerization workflows with Docker and Kubernetes support
- remote 34
kube-linter audit for Kubernetes manifests — 63 checks: security, availability, RBAC, network.
- pypi 32
vSphere with Tanzu (VKS): Namespace and TanzuKubernetesCluster lifecycle. Requires vSphere 8.x+.
- remote 31
Manage Kubernetes clusters, deployments, databases, secrets and observability on Mengi Cloud.
- remote 23
Free browser-based calculators and analyzers for cloud cost, DevOps, security, and data governance.
- pypi 21
MCP server for Rancher API integration
- npm 21
io.github.oijusti/k8s-port-forward-mcp
Kubernetes Port Forward — MCP Server: port-forward Kubernetes services with terminal integration
- pypi 20
Capability-aware MCP server for Rancher-managed Kubernetes: discovery, resources, workflows.
- remote 18
Deploy apps and manage Kubernetes on AWS, GCP, Azure, and On-Premise with natural language.
- pypi 17
VMware AVI (NSX ALB) load balancer plus AKO Kubernetes ops — 29 MCP tools.
- mcpb 14
Kubernetes port forwarding for local development with automatic /etc/hosts entries.
- mcpb 13
io.github.bryanjbelanger/talos-mcp-server
Talos Linux cluster operations as one thin MCP tool over the official machine API.
- mcpb 13
Safe Kubernetes access for AI agents via MCP. Read-only by default, with explicit permission modes.
- oci 10
SSH & Kubernetes access broker for AI agents; the model never touches a credential.
- oci 10
Read-only Kubernetes diagnostics: pods, logs, events, workloads, services, PVCs and nodes.
- oci 10
Read-only access to a Crossplane control plane: resources, claims, packages, compositions.
- oci 10
Read-only Kubernetes MCP server: inspect resources, logs, events, and metrics. Secrets are masked.
- oci 7
Kubernetes MCP server with RBAC-style, context-scoped guardrails for AI agents.
- oci 7
Kubernetes MCP server for diagnosis, resource management, GitOps, and RBAC-enforced operations.
- oci 6
Runs a command in a throwaway Kubernetes pod and returns exit code, output and artifacts.
- oci 6
K8gentS — Kubernetes RCA MCP Server
Kubernetes RCA agent that sandboxes its own AI with OPA Gatekeeper. MCP-ready for any client.
- oci 6
io.github.kubeshop/testkube-mcp
MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants
- oci 6
MimiOps mcp server for Kubernetes
MimiOps is an opinionated MCP server for Kubernetes
- mcpb 5
Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.
- mcpb 5
Connect to Signadot to manage ephemeral environments and route traffic to local services.
- remote 0
Willform Agent dead
Deploy containers on Kubernetes with x402 billing. 9 workload types and source builds.
Every server here has been scored. A server is listed here because its description and tool definitions say it is built for Kubernetes. That is what the server declares about itself, not an integration we have tested, so check the score breakdown before you trust one. This classification currently runs only over servers that publish a hosted endpoint, so a Kubernetes server distributed solely as an installable package will not appear here yet, however clearly it belongs. Treat the ranking as a partial field rather than the whole one.
Common questions
What is a Kubernetes MCP server?
A Kubernetes MCP server exposes pods, deployments and cluster state via the Kubernetes API to an AI assistant over the Model Context Protocol, so the assistant can work with Kubernetes directly instead of you moving data in and out by hand. These come from the public MCP registry, and being listed there is not a review of the code, so the publisher is worth checking as closely as the feature list.
How do I get started with a Kubernetes MCP server?
Start from the ranked list on this page, then open a server's own page and read its score breakdown before you install anything. Every server listed here is a hosted endpoint, so that breakdown covers Endpoint Security, Transport & Reachability, Schema Quality & AI Usability, Stability & Change Management, Tool Coverage, Tool Safety and Capabilities. A Kubernetes server acts on your Kubernetes data, so check what access it asks for before you connect it. The same page carries install snippets for the common MCP clients.