Google Veo MCP
Give autonomous agents a governed path to generate video with Google Veo.
Connected through the Model Context Protocol, an AI agent can drive Google Veo end to end: composing prompts, seeding generation with approved brand frames, submitting text-to-video and image-to-video jobs, tracking their async status, and routing finished clips into review and delivery. It turns Veo into a callable capability inside a larger autonomous creative pipeline.
Submit text-to-video and image-to-video jobs with prompts, reference frames, aspect ratio, and duration set by the agent.
Poll asynchronous generation tasks, retrieve status, and fetch finished clips once rendering completes.
Pass approved brand stills or prior frames as image inputs so agents extend or restyle existing creative.
Deliver rendered video into storage, review queues, or downstream tools with campaign and variant metadata attached.
An agent reads a creative brief, generates a matrix of Veo clips across formats and hooks, and hands finished cuts to a review queue tagged for each channel and audience.
An agent watches campaign metrics, identifies fatigued or underperforming video, and generates fresh Veo variations of the winners without waiting for a manual production cycle.
An agent pairs Gemini scripts and Imagen stills with Veo generation to turn a single concept into an animated storyboard and rough cut for fast stakeholder review.
The MCP server enforces budgets, rate limits, and per-brief quotas, so an agent can only spend within the ceilings we set. Every job is logged with its prompt, cost, and requester for full auditability.
Yes. Agents generate and organize freely, but clips destined for live campaigns pass through an approval step. We configure which workflows are fully autonomous and which require sign-off per client.
We expose brand prompt templates, reference frames, and prior high-performing creative through the protocol, so the agent grounds every Veo request in approved assets rather than generating from a blank slate.
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