runway_generate_video
Generate a video from text or an image using Runway ML. Supports text-to-video and image-to-video. Returns a task_id to poll for completion.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/runway-generate-video.md
What runway_generate_video does on UnClick
AI agents invoke runway_generate_video to trigger actions in UnClick. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
seed | number | — | Random seed for reproducibility |
model | string | — | Model name: gen3a_turbo (fast) or gen3a (quality). Default: gen3a_turbo |
ratio | string | — | Aspect ratio e.g. 1280:768 or 768:1280 (default: 1280:768) |
prompt | string | — | Text description of the video to generate |
api_key | string | Yes | Runway API key |
duration | number | — | Video duration in seconds (default: 5) |
image_url | string | — | URL of an image to animate (image-to-video mode) |
Parameters from the server's own tool schema.
Why runway_generate_video is rated High
This tool triggers an external AI video generation service (Runway ML), which constitutes an external operation execution. It is not a simple read/write — it initiates a compute-intensive external task and returns a task_id for polling. Misuse could result in significant API costs (approaching Financial) and generation of harmful video content, justifying high severity.
From the tool's definition Generate a video from text or an image using Runway ML... triggers external operations (video generation via Runway ML API)
Risk signalsHandles credentials or secrets (api_key)
Attacks that exploit this kind of access
The rule that runs runway_generate_video safely
PolicyLayer is an MCP gateway: it sits between your AI agents and UnClick, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For runway_generate_video, this is the rule to start with:
runway_generate_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.
The button opens the PolicyLayer dashboard: create your workspace, connect UnClick, apply this rule, and every runway_generate_video call is checked against it from then on.
Questions about runway_generate_video
Generate a video from text or an image using Runway ML. Supports text-to-video and image-to-video. Returns a task_id to poll for completion. It is categorised as a Execute tool in the UnClick MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
runway_generate_video accepts 7 parameters: seed, model, ratio, prompt, api_key, duration, image_url. Required: api_key. The full parameter table on this page comes from the server's own tool schema.
Register the UnClick MCP server in PolicyLayer and add a rule for runway_generate_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 UnClick. Nothing to install.
runway_generate_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 runway_generate_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 runway_generate_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.
runway_generate_video is provided by the UnClick MCP server (@unclick/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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