Medium Risk

create_cluster

Create an Aurora MySQL cluster

How to control create_cluster ↓

What create_cluster does on Amazon Translate MCP Server

AI agents use create_cluster to create or update resources in Amazon Translate MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon Translate MCP Server environment.

Medium Risk

Why create_cluster needs a policy

The tool creates a new Aurora MySQL cluster, which is a Write action that persists new infrastructure resources. It is reversible (the cluster can be deleted), so it does not qualify as Destructive. It has medium severity because misconfiguration or resource sprawl could incur costs and consume quota, but the primary impact is infrastructure modification, not financial obligation or data loss.

From the tool's definition Tool name and description: 'Create an Aurora MySQL cluster' — this creates a new database resource that is persistent and modifies cloud infrastructure state.

Documented attack patterns abuse exactly the kind of access create_cluster gives an agent:

How to control create_cluster

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Translate MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_cluster:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_cluster": {
      "limits": [
        {
          "counter": "create_cluster_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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.

  1. Create a free account and register Amazon Translate MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about create_cluster

What does the create_cluster tool do? +

Create an Aurora MySQL cluster. It is categorised as a Write tool in the Amazon Translate MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_cluster? +

Register the Amazon Translate MCP Server 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 Amazon Translate MCP Server. Nothing to install.

What risk level is create_cluster? +

create_cluster is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_cluster? +

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.

How do I block create_cluster completely? +

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.

What MCP server provides create_cluster? +

create_cluster is provided by the Amazon Translate MCP Server MCP server (awslabs.amazon-translate-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon Translate MCP Server tool call.

Start from Amazon Translate MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

805 Amazon Translate MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.