Low Risk

k8s_crds

List all Custom Resource Definitions (CRDs) installed in the cluster.

How to control k8s_crds ↓

What k8s_crds does on Multi Cluster Kubernetes MCP Server

AI agents call k8s_crds to retrieve information from Multi Cluster Kubernetes MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why k8s_crds needs a policy

This tool performs a query/list operation to retrieve information about Custom Resource Definitions. It has no side effects, does not create, modify, or delete resources, and does not execute commands or perform external operations. Listing CRDs is informational only and represents minimal risk if misused by an AI agent.

From the tool's definition Tool name 'k8s_crds' and description 'List all Custom Resource Definitions (CRDs) installed in the cluster' indicate a read-only query operation that retrieves and displays metadata about CRDs without modifying cluster state.

Documented attack patterns abuse exactly the kind of access k8s_crds gives an agent:

How to control k8s_crds

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_crds:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "k8s_crds": {}
  }
}

k8s_crds is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Multi Cluster Kubernetes 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.
CAP THIS TOOL →

Free to start. No card required.

Related tools and policies

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Questions about k8s_crds

What does the k8s_crds tool do? +

List all Custom Resource Definitions (CRDs) installed in the cluster. 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_crds? +

Register the Multi Cluster Kubernetes MCP Server MCP server in PolicyLayer and add a rule for k8s_crds: 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_crds? +

k8s_crds is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit k8s_crds? +

Yes. Add a rate_limit block to the k8s_crds 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_crds completely? +

Set action: deny in the PolicyLayer policy for k8s_crds. 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_crds? +

k8s_crds 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.

Free to start. No card required.

57 Multi Cluster Kubernetes MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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