Connect GitHub Copilot to Kubernetes
GitHub Copilot reaches Kubernetes through one Flowplane address. You add Kubernetes once in Flowplane, add that address to GitHub Copilot, and sign in. Look at your Kubernetes cluster’s workloads, events and pod logs, check rollouts, and scale, restart or delete a pod.
- Tools
- 5 read · 3 change
- Sign-in
- One shared key
- Approval, by default
- 1 of 3 changes ask first
- MCP server
- Flowplane’s tools
- 1
Add Kubernetes 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.
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.
- 2
Add Flowplane to GitHub Copilot
Your address is shown in the Flowplane console; it looks like
https://mcp.flowplane.eu/<your-label>- In VS Code, open the command palette and run MCP: Add Server. Choose HTTP (HTTP or Server-Sent Events) and paste
https://mcp.flowplane.eu/<your-label>(or add the block below to.vscode/mcp.json). - Choose Authenticate, then sign in to Flowplane and allow VS Code.
- In Copilot Chat, switch to Agent mode.
{ "servers": { "flowplane": { "type": "http", "url": "https://mcp.flowplane.eu/<your-label>" } } }Steps checked against the vendor’s documentation (Microsoft)
- In VS Code, open the command palette and run MCP: Add Server. Choose HTTP (HTTP or Server-Sent Events) and paste
- 3
Ask GitHub Copilot
- “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?”
What GitHub Copilot can do in Kubernetes
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.
Reads5
- List namespacesThe cluster's namespaces
list_namespaces - List workloads and morePods, deployments, services, jobs, nodes, events
list_resources - Look at one objectA summary, or the whole object
get_resource - Read a pod's logThe last lines of a container's log
get_logs - Check a rolloutWhether a deployment has finished rolling out
rollout_status
Changes3
- Scale a workloadSet how many replicas a workload runs
scale - Restart a rolloutReplace its pods one by one
restart_rollout - Delete a podasks firstIts controller usually makes a new one
delete_pod
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.
- Does GitHub Copilot see the password or key for Kubernetes?
- No. The key for Kubernetes is pasted into Flowplane once and kept sealed there. GitHub Copilot only gets a Flowplane sign-in for you, which you can revoke in the console.
- Can GitHub Copilot change things in Kubernetes without asking?
- Some changes are allowed by default and 1 of 3 wait for your approval; the list above marks which. Your workspace’s rules decide, per tool.
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