AI agents use control-room to create or update resources in OpenHue MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your OpenHue MCP Server environment.
This tool writes/updates the state of physical smart lights (e.g., on/off, brightness, color) across an entire room. It is reversible (lights can be changed back), so it falls under Write rather than Destructive.
From the tool's definition 'Control all lights in a room' — modifies the state of multiple Philips Hue lights simultaneously
Documented attack patterns abuse exactly the kind of access control-room gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OpenHue MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for control-room:
{
"version": "1",
"default": "deny",
"tools": {
"control-room": {
"limits": [
{
"counter": "control-room_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}control-room stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Control all lights in a room. It is categorised as a Write tool in the OpenHue MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the OpenHue MCP Server MCP server in PolicyLayer and add a rule for control-room: 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 OpenHue MCP Server. Nothing to install.
control-room is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the control-room 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 control-room. 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.
control-room is provided by the OpenHue MCP Server MCP server (lsemenenko/openhue-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from OpenHue MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
6 OpenHue MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.