List Kubernetes ConfigMaps with their key names.
AI agents call k8s_list_configmap 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.
ConfigMaps in Kubernetes are read-only data structures used for configuration storage. The 'list' operation only enumerates existing ConfigMaps and displays their key names; it does not create, modify, delete, execute code, or move resources. While ConfigMaps may contain sensitive data in some cases, the listing operation itself is purely informational with no destructive or operational impact.
From the tool's definition Tool name includes 'list' and description states 'List Kubernetes ConfigMaps with their key names' — this retrieves and queries configuration data without modification or side effects.
Documented attack patterns abuse exactly the kind of access k8s_list_configmap gives an agent:
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_list_configmap:
{
"version": "1",
"default": "deny",
"tools": {
"k8s_list_configmap": {}
}
} k8s_list_configmap is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List Kubernetes ConfigMaps with their key names. It is categorised as a Read tool in the Multi Cluster Kubernetes MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Multi Cluster Kubernetes MCP Server MCP server in PolicyLayer and add a rule for k8s_list_configmap: 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.
k8s_list_configmap 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 k8s_list_configmap 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 k8s_list_configmap. 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.
k8s_list_configmap 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.
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.
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57 Multi Cluster Kubernetes MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.