High Risk →

generate_video_from_video

Transform an existing video using AI. Supports restyling (Lucy models) and motion transfer (Kling motion control). Use upload_file first if you have a local video.

How to control generate_video_from_video ↓

AI agents invoke generate_video_from_video to trigger actions in Fal 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.

High Risk

This tool triggers an external AI computation on Fal.ai to process and transform a video, producing a new output. It executes an AI pipeline on an external service — not a simple read, write, or destructive action. The blast radius is medium: it consumes API credits and compute resources, and results depend on the input arguments, but it does not delete data or move money directly.

From the tool's definition 'Transform an existing video using AI. Supports restyling (Lucy models) and motion transfer (Kling motion control).'

Documented attack patterns abuse exactly the kind of access generate_video_from_video gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Fal Ai MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for generate_video_from_video:

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

generate_video_from_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.

  1. Create a free account and register Fal Ai 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 generate_video_from_video tool do? +

Transform an existing video using AI. Supports restyling (Lucy models) and motion transfer (Kling motion control). Use upload_file first if you have a local video. It is categorised as a Execute tool in the Fal Ai 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 generate_video_from_video? +

Register the Fal Ai MCP Server MCP server in PolicyLayer and add a rule for generate_video_from_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 Fal Ai MCP Server. Nothing to install.

What risk level is generate_video_from_video? +

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

Can I rate-limit generate_video_from_video? +

Yes. Add a rate_limit block to the generate_video_from_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.

How do I block generate_video_from_video completely? +

Set action: deny in the PolicyLayer policy for generate_video_from_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.

What MCP server provides generate_video_from_video? +

generate_video_from_video is provided by the Fal Ai MCP Server MCP server (luminarylane/fal-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Fal Ai MCP Server tool call.

Deterministic rules across all 18 Fal Ai MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

18 Fal Ai MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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