Shut down the virtualization-mcp server
AI agents call virtualization-mcp_shutdown to permanently remove resources in Virtualization — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Shutting down the virtualization server is irreversible in the sense that it terminates the entire server process, disrupting all managed VMs, sandboxes, and dev environments. This is not a simple write or execute — it ends the controlling service, potentially causing data loss or corruption in running VMs, and cannot be undone automatically.
From the tool's definition Shut down the virtualization-mcp server
Documented attack patterns abuse exactly the kind of access virtualization-mcp_shutdown gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Virtualization, and nothing reaches the server without passing your rules. This is the rule we recommend for virtualization-mcp_shutdown:
{
"version": "1",
"default": "deny",
"hide": [
"virtualization-mcp_shutdown"
]
}virtualization-mcp_shutdown disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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Shut down the virtualization-mcp server. It is categorised as a Destructive tool in the Virtualization MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Virtualization MCP server in PolicyLayer and add a rule for virtualization-mcp_shutdown: 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 Virtualization. Nothing to install.
virtualization-mcp_shutdown is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the virtualization-mcp_shutdown 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 virtualization-mcp_shutdown. 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.
virtualization-mcp_shutdown is provided by the Virtualization MCP server (sandraschi/virtualization-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Virtualization, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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56 Virtualization tools catalogued and risk-classified — across an index of 43,000+ MCP servers.