Vidu MCP

A tool that allows you to access Vidu latest video generation models via applications that support the Model Context Protocol (MCP), such as Claude or Cursor.

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Overview

Vidu MCP is a tool that allows you to access Vidu latest video generation models via applications that support the Model Context Protocol (MCP), such as Claude or Cursor. This integration enables you to generate high-quality videos anytime, anywhere — including text-to-video, image-to-video, and more.

Key Features

Text-to-Video Generation: Generate creative videos using text prompts
Image-to-Video Generation: Generate creative videos using text and image prompts
Reference-to-Video Generation: Generate creative videos using text and image prompts
StartEnd-to-Video Generation: Generate creative videos using text and image prompts

System Components

The system consists of two main components:

UVX MCP Server
- Python-based cloud server
- Communicates directly with the Vidu API
- Provides full video generation capabilities

Installation & Configuration

Prerequisites

Python 3.10 or higher
UV/UVX
Vidu API Key: Obtain from Vidu Platform (This feature requires API Credits, which must be purchased separately on Vidu Platform

Get Dependencies

Python:
- Download and install from the official Python website
- Ensure Python is added to your system path
UV/UVX:
- Install uv and set up our Python project and environment:

Mac/Linux

curl -LsSf https://astral.sh/uv/install.sh | sh

Windows

powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

How to Use MCP Server

1. Get Vidu API Key

Visit the Vidu Platform
Register or log into your account
Create and copy your API key from the account settings

2. Download Required Dependencies

Python: Install Python 3.10 or above
UV/UVX: Install the latest stable version of UV & UVX

3. Configure MCP Client

Open your MCP client (e.g., Claude for Desktop or Cursor)
Locate the client settings
Open mcp_config.json (or relevant config file)
Add the configuration based on the method you use:

{
  "mcpServers": {
    "Vidu": {
      "command": "uvx",
      "args": [
        "vidu-mcp"
      ],
      "env": {
        "VIDU_API_KEY": "api-key-here", 
        "VIDU_API_HOST": "api-host-here"
      }
    }
  }
}

Save the config file

4. Restart MCP Client or Refresh MCP Server

Fully close and reopen your MCP client
Or use the "Refresh MCP Server" option if supported

Client-specific Configuration

Claude for Desktop

Open the Claude application
Navigate to Claude > Settings > Developer > Edit Config
Open the claude_desktop_config.json file
- Windows
- Mac : ~/Library/Application\ Support/Claude/claude_desktop_config.json
Add the configuration above and save
Restart Claude
- If connected successfully: the homepage will not show any error and the MCP status will be green
- If connection fails: an error message will be shown on the homepage

Cursor

Open the Cursor application
Go to Settings > Model Context Protocol
Add a new server
Fill in the server details as in the JSON config above
Save and restart or refresh the MCP server

Usage Examples

Text-to-Video

Use natural language prompts via Claude or Cursor to generate videos.

Basic Example:

In an ultra-realistic fashion photography style featuring light blue and pale amber tones, an astronaut in a spacesuit walks through the fog. The background consists of enchanting white and golden lights, creating a minimalist still life and an impressive panoramic scene.

Advanced Example with Parameters:

Generate a night cityscape video with the following parameters:
Prompt: Skyscraper lights twinkling under the night sky, with car lights forming streaks on the road
Model: viduq1
Style: general
Duration: 5 seconds
Aspect Ratio: 16:9
Resolution: 1080p
Movement Amplitude: middle

FAQ

How do I get a Vidu API key?

What should I do if the server doesn't respond?

Check whether your API key is valid
View error logs (typically in the log folders of Claude or Cursor)

How to obtain credits?

If you haven't topped up on the API platform yet, please do so first. Vidu Platform

Where can I find the generated video?

You will receive a URL link to view, download, or share the video.

How long does video generation take?

Typically 30 seconds to 5 minutes depending on complexity, server load, and network conditions.

What to do if you encounter a spawn uvx ENOENT error?

This error is typically caused by incorrect UV/UVX installation paths. You can resolve it as follows:

For Mac/Linux:

sudo cp ./uvx /usr/local/bin

For Windows:

Identify the installation path of UV/UVX by running the following command in the terminal:

where uvx

Open File Explorer and locate the uvx/uv files.
Move the files to one of the following directories:
- C:\Program Files (x86) or C:\Program Files

Support

Technical Support

Email: platform@vidu.studio
Website: https://platform.vidu.com