AI agents invoke stop_virtual_cam to trigger actions in OBS MCP 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 a command to halt an active virtual camera stream. While not destructive (the action is reversible by restarting the virtual camera) and not creating/modifying persistent data (Write category), it actively controls an external system's operation. This qualifies as Execute: it runs an operation whose effects depend on the current state of OBS Studio.
From the tool's definition The tool 'stop_virtual_cam' stops the virtual camera output, which is an external operation that changes the state of OBS Studio's virtual camera system. This is an action that triggers a state change in a running process.
Documented attack patterns abuse exactly the kind of access stop_virtual_cam gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OBS MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for stop_virtual_cam:
{
"version": "1",
"default": "deny",
"tools": {
"stop_virtual_cam": {
"limits": [
{
"counter": "stop_virtual_cam_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} stop_virtual_cam 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.
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Stops the virtual camera output. It is categorised as a Execute tool in the OBS MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the OBS MCP Server MCP server in PolicyLayer and add a rule for stop_virtual_cam: 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 OBS MCP Server. Nothing to install.
stop_virtual_cam 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 stop_virtual_cam 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 stop_virtual_cam. 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.
stop_virtual_cam is provided by the OBS MCP Server MCP server (royshil/obs-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 200 OBS MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
200 OBS MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.