Power management for range VMs (start/stop). Power off operations require confirmation as they may interrupt running processes.
AI agents invoke ludus_power to trigger actions in LudusMCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes commands that change the state of virtual machines. While power-on/off operations are reversible (unlike Destructive actions), they are Execute-category because they trigger external VM operations with side effects beyond the agent's control. The tool could disrupt running security training, interrupt user work, or affect multiple VMs depending on how the agent invokes it.
From the tool's definition Tool description states 'Power management for range VMs (start/stop)' — directly triggers external operations (VM power state changes) whose effects depend on arguments (start vs. stop).
Documented attack patterns abuse exactly the kind of access ludus_power gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and LudusMCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for ludus_power:
{
"version": "1",
"default": "deny",
"tools": {
"ludus_power": {
"limits": [
{
"counter": "ludus_power_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}ludus_power stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Power management for range VMs (start/stop). Power off operations require confirmation as they may interrupt running processes. It is categorised as a Execute tool in the LudusMCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the LudusMCP Server MCP server in PolicyLayer and add a rule for ludus_power: 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 LudusMCP Server. Nothing to install.
ludus_power is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the ludus_power 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 ludus_power. 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.
ludus_power is provided by the LudusMCP Server MCP server (noctedefensor/ludusmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 29 LudusMCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
29 LudusMCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.