get_k8s_cluster_info

Gets cluster endpoint information. This is similar to running kubectl cluster-info.

SERVERMcp SOURCEhttps://container.googleapis.com/mcp

Low RISK CLASS

Category Read

Parameters 11 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-googleapis-container-mcp/get-k8s-cluster-info.md

WHAT IT DOES

What get_k8s_cluster_info does on Mcp

AI agents call get_k8s_cluster_info to retrieve information from Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`parent`	string	Yes	Required. The parent cluster. Format: projects/{project}/locations/{location}/clusters/{cluster}

Parameters from the server's own tool schema.

RISK

Why get_k8s_cluster_info is rated Low

This tool retrieves cluster configuration and endpoint data without creating, modifying, deleting, or executing any operations. It is purely informational, analogous to kubectl's cluster-info command which queries and displays cluster details. The impact of misuse is limited to information disclosure, making this a low-severity read operation.

From the tool's definition Tool description states 'Gets cluster endpoint information' and is 'similar to running `kubectl cluster-info`', which is a read-only query operation that retrieves cluster metadata without modification.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs get_k8s_cluster_info safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_k8s_cluster_info, this is the rule to start with:

get_k8s_cluster_info Allowed

get_k8s_cluster_info is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_k8s_cluster_info": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every get_k8s_cluster_info call is checked against it from then on.

FAQ

Questions about get_k8s_cluster_info

What does the get_k8s_cluster_info tool do? +

Gets cluster endpoint information. This is similar to running kubectl cluster-info. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.

What parameters does get_k8s_cluster_info accept? +

get_k8s_cluster_info accepts 1 parameter: parent. Required: parent. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on get_k8s_cluster_info? +

Register the MCP server in PolicyLayer and add a rule for get_k8s_cluster_info: 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 Mcp. Nothing to install.

What risk level is get_k8s_cluster_info? +

get_k8s_cluster_info is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_k8s_cluster_info? +

Yes. Add a rate_limit block to the get_k8s_cluster_info 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_k8s_cluster_info completely? +

Set action: deny in the PolicyLayer policy for get_k8s_cluster_info. 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_k8s_cluster_info? +

get_k8s_cluster_info is provided by the MCP server (https://container.googleapis.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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