Generates a video from text using RunwayML or Luma AI.
AI agents invoke generate_text_to_video to trigger actions in RunwayML + Luma AI 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 triggers an external AI generation operation (video creation) on third-party APIs. It is an Execute category because it initiates an external computational process whose effects depend on the input arguments. Severity is high because misuse could result in significant API costs, generation of harmful or inappropriate content, and unintended consumption of rate-limited or paid API resources at scale.
From the tool's definition Generates a video from text using RunwayML or Luma AI
Documented attack patterns abuse exactly the kind of access generate_text_to_video gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and RunwayML + Luma AI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for generate_text_to_video:
{
"version": "1",
"default": "deny",
"tools": {
"generate_text_to_video": {
"limits": [
{
"counter": "generate_text_to_video_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} generate_text_to_video 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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Generates a video from text using RunwayML or Luma AI. It is categorised as a Execute tool in the RunwayML + Luma AI MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the RunwayML + Luma AI MCP Server MCP server in PolicyLayer and add a rule for generate_text_to_video: 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 RunwayML + Luma AI MCP Server. Nothing to install.
generate_text_to_video 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 generate_text_to_video 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 generate_text_to_video. 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.
generate_text_to_video is provided by the RunwayML + Luma AI MCP Server MCP server (wheattoast11/mcp-video-gen). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from RunwayML + Luma AI 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.
10 RunwayML + Luma AI MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.