k8s_get_rolebindings

THE RISK

Low Risk

Why k8s_get_rolebindings needs a policy

This tool performs a read-only query operation that lists existing RoleBinding resources to display RBAC access controls. It retrieves information about role assignments but does not create, modify, delete, or execute any actions. The blast radius is minimal—the primary risk is information disclosure about cluster access controls, which is low severity. No side effects occur from querying this data.

From the tool's definition Tool name k8s_get_rolebindings and description 'List RBAC RoleBindings showing which subjects (users, groups, service accounts)' indicates it retrieves and queries RBAC configuration data without modifying it.

Documented attack patterns abuse exactly the kind of access k8s_get_rolebindings gives an agent:

POLICY

How to control k8s_get_rolebindings

PolicyLayer is an MCP gateway — it sits between your AI agents and Multi Cluster Kubernetes MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for k8s_get_rolebindings:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "k8s_get_rolebindings": {}
  }
}

k8s_get_rolebindings 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 Multi Cluster Kubernetes MCP Server — 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

Related tools and policies

More Multi Cluster Kubernetes MCP Server tools

Destructive k8s_delete_ns Delete a Kubernetes namespace and all resources within it. Destructive k8s_delete_resource Delete a Kubernetes resource. Supports all common resource types Destructive k8s_drain_node Drain a node by evicting all pods, preparing it for maintenance. Execute k8s_pod_exec Execute a command inside a running container. Supports quoted arguments Execute k8s_rollout_restart Trigger a rolling restart of a deployment, daemonset, or statefulset. Execute k8s_run_pod Create and run a pod with the specified container image. Execute k8s_scale_resource Scale a deployment, statefulset, or replicaset to the specified number of replicas. Execute k8s_rollout_pause Pause an in-progress rollout for a deployment, daemonset, or statefulset.

All 57 Multi Cluster Kubernetes MCP Server tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

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 k8s_get_rolebindings

What does the k8s_get_rolebindings tool do? +

List RBAC RoleBindings showing which subjects (users, groups, service accounts). It is categorised as a Read tool in the Multi Cluster Kubernetes MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on k8s_get_rolebindings? +

Register the Multi Cluster Kubernetes MCP Server MCP server in PolicyLayer and add a rule for k8s_get_rolebindings: 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 Multi Cluster Kubernetes MCP Server. Nothing to install.

What risk level is k8s_get_rolebindings? +

k8s_get_rolebindings is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit k8s_get_rolebindings? +

Yes. Add a rate_limit block to the k8s_get_rolebindings 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 k8s_get_rolebindings completely? +

Set action: deny in the PolicyLayer policy for k8s_get_rolebindings. 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 k8s_get_rolebindings? +

k8s_get_rolebindings is provided by the Multi Cluster Kubernetes MCP Server MCP server (razvanmacovei/k8s-multicluster-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Multi Cluster Kubernetes MCP Server tool call.

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

CHECK YOUR STACK →