List VPN users
AI agents call list_vpn_users to retrieve information from CloudStack MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries existing VPN user information without creating, modifying, deleting, or executing any operations. It is a straightforward read operation with minimal blast radius if misused by an AI agent, as it only exposes informational data about VPN users.
From the tool's definition Tool name is 'list_vpn_users' and description states 'List VPN users' — both indicate a query/retrieval operation with no modification of data.
Attacks that exploit this kind of access
List VPN users. It is categorised as a Read tool in the CloudStack MCP Server MCP Server, which means it retrieves data without modifying state.
Register the CloudStack MCP Server MCP server in PolicyLayer and add a rule for list_vpn_users: 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 CloudStack MCP Server. Nothing to install.
list_vpn_users 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 list_vpn_users 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 list_vpn_users. 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.
list_vpn_users is provided by the CloudStack MCP Server MCP server (mozg31337/cloudstack-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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