Get the kubeconfig for a Kubernetes cluster.
AI agents call get_kubernetes_cluster_config to retrieve information from Vultr MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read operation by fetching cluster credentials/configuration. However, severity is rated 'high' rather than 'low' because the kubeconfig contains sensitive authentication material that grants administrative access to a Kubernetes cluster. Unauthorized disclosure could enable cluster compromise, though the tool itself does not execute commands or modify infrastructure—it only retrieves data.
From the tool's definition Tool retrieves kubeconfig for a Kubernetes cluster via 'Get the kubeconfig' action, which is a read/retrieval operation without data modification.
Documented attack patterns abuse exactly the kind of access get_kubernetes_cluster_config gives an agent:
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_config:
{
"version": "1",
"default": "deny",
"tools": {
"get_kubernetes_cluster_config": {}
}
} get_kubernetes_cluster_config is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the kubeconfig 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.
Register the Vultr MCP server in PolicyLayer and add a rule for get_kubernetes_cluster_config: 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.
get_kubernetes_cluster_config is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_kubernetes_cluster_config 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 get_kubernetes_cluster_config. 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.
get_kubernetes_cluster_config 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.
Start from Vultr MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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284 Vultr MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.