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Kubernetes MCP server

For teams that run their own Kubernetes cluster. Through Flowplane an AI assistant can list namespaces and the pods, deployments, statefulsets, services, ingresses, jobs, nodes and events in them, look at one object, read a pod’s log and check whether a rollout has finished. It can scale a deployment or statefulset and restart a rollout; deleting a pod waits for your approval by default.

Connect Kubernetes →Set up your assistant
Tools
5 read · 3 change
Sign-in
One shared key
Approval, by default
1 of 3 changes ask first
MCP server
Flowplane’s tools
What it can do

What your assistant can do in Kubernetes

5 tools that read and 3 that change something in Kubernetes. Reads are allowed; a change marked “asks first” waits for the person’s approval by default, and your workspace’s rules decide the rest.

Reads5

  • List namespacesThe cluster's namespaceslist_namespaces
  • List workloads and morePods, deployments, services, jobs, nodes, eventslist_resources
  • Look at one objectA summary, or the whole objectget_resource
  • Read a pod's logThe last lines of a container's logget_logs
  • Check a rolloutWhether a deployment has finished rolling outrollout_status

Changes3

  • Scale a workloadSet how many replicas a workload runsscale
  • Restart a rolloutReplace its pods one by onerestart_rollout
  • Delete a podasks firstIts controller usually makes a new onedelete_pod
How it connects

Sign-in

The cluster is reached with the token of a ServiceAccount you make, bound to a Role with only the rights you want assistants to have. The workspace pastes it once; the assistant reads and changes only what that account may. Flowplane keeps it sealed; the assistant never sees it.

In Flowplane: In the Flowplane console, add Kubernetes, type the API server’s address (the server line of your kubeconfig), paste the ServiceAccount token and, if the cluster has its own certificate authority, its CA certificate. A cluster behind a firewall connects through a tunnel.

MCP

Kubernetes and MCP

The Kubernetes project has no official MCP server. There are community-built ones, such as containers/kubernetes-mcp-server, which you run yourself with your own credentials. Flowplane talks to your cluster’s API server directly, so there is nothing to install in the cluster.

Try it

Things to ask

  • “Which pods in the production namespace are not running?”
  • “Show the last 100 lines of the api pod’s log.”
  • “Has the rollout of the web deployment finished?”
  • “Scale the worker deployment in staging to 3 replicas.”
  • “What warning events were there in the payments namespace?”
Your assistant

Connect your assistant to Kubernetes

One Flowplane address works in every assistant below, with the same rules and the same log. Step-by-step setup for each:

FAQ

Questions

Can the assistant read my Secrets?
No. A Secret is listed by name, type and age only; its data is never read into an answer. A ConfigMap shows the names of its keys, not their values. To keep Secrets from being listed at all, give the ServiceAccount no right on them.
What can it change in the cluster?
Scaling a deployment or statefulset and restarting a rollout, which can be undone and are allowed by default, and deleting a pod, which waits for your approval by default. exec, attach, port-forward, applying manifests and editing other fields are never offered. Whatever the ServiceAccount’s Role does not allow is refused by the cluster itself.
Which AI assistants can use Kubernetes through Flowplane?
Claude, Claude Code, ChatGPT, Cursor, Codex, GitHub Copilot and Mistral Le Chat, and any other client that supports remote MCP servers with sign-in. They all reach Kubernetes through the same Flowplane address.
What does it cost?
Free for one person, with up to three apps and five assistants. Personal Pro is €9 a month including VAT; companies start at €99 a month for ten active users. Prices are indicative; see the pricing page.

Flowplane is not affiliated with or endorsed by Kubernetes’s maker; the name and logo only identify the app. Pricing

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