Synchronizes all MultiViewer video players to the player
AI agents invoke player_sync_to_commentary to trigger actions in MultiViewer. 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 an external operation that affects multiple video players simultaneously, synchronizing their playback state. It is not a simple read or write, but rather triggers a real-time action across all player instances. Misuse could disrupt the viewing experience for all active streams, making severity medium.
From the tool's definition 'Synchronizes all MultiViewer video players to the player' — triggers a coordinated external operation affecting all active video players
Documented attack patterns abuse exactly the kind of access player_sync_to_commentary gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MultiViewer, and nothing reaches the server without passing your rules. This is the rule we recommend for player_sync_to_commentary:
{
"version": "1",
"default": "deny",
"tools": {
"player_sync_to_commentary": {
"limits": [
{
"counter": "player_sync_to_commentary_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} player_sync_to_commentary 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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Synchronizes all MultiViewer video players to the player. It is categorised as a Execute tool in the MultiViewer MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MultiViewer MCP server in PolicyLayer and add a rule for player_sync_to_commentary: 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 MultiViewer. Nothing to install.
player_sync_to_commentary 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 player_sync_to_commentary 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 player_sync_to_commentary. 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.
player_sync_to_commentary is provided by the MultiViewer MCP server (robspectre/mvf1). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MultiViewer, 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.
21 MultiViewer tools catalogued and risk-classified — across an index of 43,000+ MCP servers.