High Risk →

stop_stream

Stops the stream output.

How to control stop_stream ↓

AI agents invoke stop_stream 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.

High Risk

This tool triggers an external operation (stopping a live stream) whose effects depend on the current streaming state. While not destructive in the sense of permanent data loss, it interrupts an active broadcast which can affect multiple viewers and has real-time consequences that cannot be instantly undone without restarting.

From the tool's definition Tool name 'stop_stream' and description 'Stops the stream output' directly indicate termination of an active broadcast operation.

Documented attack patterns abuse exactly the kind of access stop_stream 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_stream:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "stop_stream": {
      "limits": [
        {
          "counter": "stop_stream_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

stop_stream 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.

  1. Create a free account and register OBS MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Go deeper

What does the stop_stream tool do? +

Stops the stream 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.

How do I enforce a policy on stop_stream? +

Register the OBS MCP Server MCP server in PolicyLayer and add a rule for stop_stream: 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.

What risk level is stop_stream? +

stop_stream is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit stop_stream? +

Yes. Add a rate_limit block to the stop_stream 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.

How do I block stop_stream completely? +

Set action: deny in the PolicyLayer policy for stop_stream. 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.

What MCP server provides stop_stream? +

stop_stream 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.

Enforce policy on every OBS MCP Server tool call.

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.

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