KSail runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 18 Sep 2026.
SDK for creating, managing, and operating Kubernetes clusters and workloads with ease.
We read the source, 22 h ago · rules 3dff92dd89df
Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.
const metadataUserDataEndpoint = "http://169.254.169.254/hetzner/v1/userdata"
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
err = installStagedPlugin(root, filepath.Join(dir, name))
const proc = spawn(binaryPath, args, {
…te limits, and external registries with authentication. Credentials are automatically discovered from Docker config (`~/.docker/config.json`), environment variables, or GitOps secrets. See [Registry Management](/guides/registry-management/) for configuration examples.\n\n### What…
dockerSocketPath = "/var/run/docker.sock"
Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.
if: always() && inputs.delete == 'true'
shell: bash
env:
CONFIG: ${{ inputs.config }}
- 'docs/.npmrc'
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch KSail and you get told the day something new turns up.
OpenShift/Kubernetes cluster management via the oc CLI for MCP clients
Manage Kubernetes clusters, deployments, databases, secrets and observability on Mengi Cloud.
Kubernetes MCP server for diagnosis, resource management, GitOps, and RBAC-enforced operations.
MCP server for natural-language Kubernetes operations across single or multi-cluster environments.
Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, audit.
Guardrailed fleet ops for AI agents: multi-cluster Kubernetes via OCM with policy, approval, audit.
Dynamic pod spawner & proxy for ephemeral AI agent workspaces on Kubernetes without CRDs
Operate a k3s / Kubernetes cluster from your AI agent — safe-by-default MCP server.
Answers built from our own checks of this server.