create_cluster
Creates a new GKE cluster in a given project and location. It's recommended to read the [GKE documentation](https://docs.cloud.google.com/kubernetes-engine/docs/concepts/configuration-overview) to understand cluster configuration options. Cluster creation will default to Autopilot mode, as recomm...
This record as markdown: /tools/com-googleapis-container-mcp/create-cluster.md
What create_cluster does on Mcp
AI agents use create_cluster to create or update resources in Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
parent | string | Yes | Required. The parent (project and location) where the cluster will be created. Specified in the format `projects/*/locations/*`. |
cluster | string | Yes | Required. A [cluster resource](https://cloud.google.com/container-engine/reference/rest/v1/projects.locations.clusters) represented as a string using JSON forma |
Parameters from the server's own tool schema.
Why create_cluster is rated Medium
This tool provisions a new GKE cluster, which is a significant Write operation. While not directly destructive or financial in nature, creating a cluster incurs cloud infrastructure costs and has a large blast radius — a misconfigured or unauthorized cluster creation can lead to significant resource consumption and potential security exposure.
From the tool's definition Creates a new GKE cluster in a given project and location
Attacks that exploit this kind of access
The rule that runs create_cluster safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_cluster, this is the rule to start with:
create_cluster stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every create_cluster call is checked against it from then on.
Questions about create_cluster
Creates a new GKE cluster in a given project and location. It's recommended to read the [GKE documentation](https://docs.cloud.google.com/kubernetes-engine/docs/concepts/configuration-overview) to understand cluster configuration options. Cluster creation will default to Autopilot mode, as recommended by GKE best practices. If the user explicitly wants to create a Standard cluster, you need to set autopilot.enabled=false in the cluster configuration. This is similar to running gcloud container clusters create-auto or gcloud container clusters create. It is categorised as a Write tool in the Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
create_cluster accepts 2 parameters: parent, cluster. Required: parent, cluster. The full parameter table on this page comes from the server's own tool schema.
Register the MCP server in PolicyLayer and add a rule for create_cluster: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp. Nothing to install.
create_cluster is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_cluster rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for create_cluster. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
create_cluster is provided by the MCP server (https://container.googleapis.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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