Vidu MCP Server

Overview

The Vidu MCP Server bridges Claude‑style AI assistants with Vidu’s high‑performance video generation API, allowing developers to turn still images into short animated clips directly from an AI workflow. By exposing a set of well‑defined tools—image upload, video conversion, and status polling—the server eliminates the need for manual API calls or complex SDK integrations. Developers can simply invoke a single “image‑to‑video” command, pass contextual prompts or metadata, and receive a ready‑made video asset, all while the server handles authentication, rate limiting, and background task management.

This MCP is valuable for any project that requires dynamic visual content generation at scale, such as marketing automation platforms, social media management tools, or interactive storytelling applications. Instead of hardcoding video creation logic into each client, the server centralizes all Vidu interactions behind a clean MCP interface. This reduces duplication, simplifies versioning of the underlying models (viduq1, vidu1.5, vidu2.0), and ensures consistent error handling across different AI assistants.

Key capabilities include:

• Multi‑model support with configurable duration and resolution constraints, enabling fine‑tuned control over output quality.
• BGM injection for 4‑second clips, allowing quick production of engaging short videos without additional audio processing steps.
• Asynchronous callbacks via , letting downstream systems react to task completion without polling.
• Progress monitoring that returns credit usage and current state, useful for billing or quota enforcement in large‑scale deployments.
• Convenient image upload that accepts common formats up to 10 MB, simplifying the preparation of source assets.

Typical use cases involve generating teaser videos from product images, creating animated thumbnails for blog posts, or producing quick visual summaries of data insights. In a production pipeline, an AI assistant can parse user intent, retrieve relevant images, and invoke the “image‑to‑video” tool with a tailored prompt—such as “Show the sunrise over the city skyline”—to deliver a polished clip ready for publication. The MCP’s callback feature can notify a content management system when the video is ready, triggering automatic publishing or further editing steps.

By encapsulating Vidu’s API behind a standard MCP contract, developers gain a reusable, version‑controlled component that can be swapped out or upgraded without touching application code. The server’s design emphasizes ease of integration, clear progress feedback, and the ability to scale video generation tasks across multiple models, making it a standout solution for AI‑driven media workflows.