get_kubernetes_cluster_resources

THE RISK

Low Risk

Why get_kubernetes_cluster_resources needs a policy

This tool retrieves and queries resource usage metrics from a Kubernetes cluster. It performs a read-only operation that returns monitoring/observability data without creating, modifying, deleting, or executing any changes to the cluster or its resources. No side effects are produced beyond returning requested information.

From the tool's definition Tool name 'get_kubernetes_cluster_resources' with verb 'get' and description 'Get resource usage information' indicates data retrieval operation with no modification or side effects.

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

POLICY

How to control get_kubernetes_cluster_resources

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_kubernetes_cluster_resources": {}
  }
}

get_kubernetes_cluster_resources is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Vultr MCP — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_kubernetes_cluster_resources

What does the get_kubernetes_cluster_resources tool do? +

Get resource usage information for a Kubernetes cluster. It is categorised as a Read tool in the Vultr MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_kubernetes_cluster_resources? +

Register the Vultr MCP server in PolicyLayer and add a rule for get_kubernetes_cluster_resources: 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 Vultr MCP. Nothing to install.

What risk level is get_kubernetes_cluster_resources? +

get_kubernetes_cluster_resources is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_kubernetes_cluster_resources? +

Yes. Add a rate_limit block to the get_kubernetes_cluster_resources 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 get_kubernetes_cluster_resources completely? +

Set action: deny in the PolicyLayer policy for get_kubernetes_cluster_resources. 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 get_kubernetes_cluster_resources? +

get_kubernetes_cluster_resources is provided by the Vultr MCP server (rsp2k/mcp-vultr). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Vultr MCP tool call.

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

CHECK YOUR STACK →