Vidu MCP

by shengshu-ai

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About

Access Vidu's latest video generation models via the Model Context Protocol (MCP).

Details

Author
shengshu-ai
Categories
Cloud Service, Other, AI

Setup

Install Vidu MCP in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/shengshu-ai/vidu-mcp

Follow the installation instructions in the repository README, then restart your MCP client.

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.

- 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

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

- Download and install from the official Python website
- Ensure Python is added to your system path

- Install uv and set up our Python project and environment:

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

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

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

- 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" } } } }

4. Restart MCP Client or Refresh MCP Server

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

- 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
- 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

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

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.
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

- Register at the Vidu Platform and generate it under "API-KEY" in your account.

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)

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

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

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

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

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