
shengshu-ai/vidu-mcp
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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.
Обзор
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. 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. - : Generate creative videos using text prompts - : Generate creative videos using text and image prompts - : Generate creative videos using text and image prompts - : Generate creative videos using text and image prompts The system consists of two main components: 1. - Python-based cloud server - Communicates directly with the Vidu API - Provides full video generation capabilities 1. Python 3.10 or higher 2. UV/UVX 3.
README
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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.
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
Установка
uvx vidu-mcpКонфигурация
{
"mcpServers": {
"Vidu": {
"command": "uvx",
"args": [
"vidu-mcp"
],
"env": {
"VIDU_API_KEY": "api-key-here",
"VIDU_API_HOST": "api-host-here"
}
}
}
}