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Veo 4 API

v1.0.0•Data Science & ML•stable

Python wrapper for Veo 4 API by Google DeepMind — native 4K AI video with integrated audio, character consistency & advanced camera controls.

4k-videoai-video-generatoraudio-video-generationcamera-controlcharacter-consistency
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What is Veo 4 API?

Veo 4 API is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to python wrapper for veo 4 api by google deepmind — native 4k ai video with integrated audio, character consistency & advanced camera controls.

Python wrapper for Veo 4 API by Google DeepMind — native 4K AI video with integrated audio, character consistency & advanced camera controls.

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Python wrapper for Veo 4 API by Google DeepMind — native 4K

Use Cases

Generate native 4K videos with integrated audio.
Control camera movements and ensure character consistency.
Anil-matcha

Maintainer

LicenseMIT
Languagepython
Versionv1.0.0
UpdatedMay 10, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux
View SourceBrowse All Servers

Installation

Manual Installation

npx veo-4-api

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Veo 4 API

The Veo 4 API MCP Server is a Python wrapper and MCP interface for Google DeepMind's Veo 4 video generation model, accessed via the MUApi gateway. It enables AI assistants to generate native 4K video clips from text prompts or images, with support for audio synthesis, cinematic camera controls (pan, zoom, orbit, tracking shots), character consistency across frames, and video extension or editing via natural language. This makes it practical for creative workflows where an AI assistant needs to generate or modify video content on demand.

Prerequisites

  • Python 3.9 or later installed
  • A MUApi account and API key (sign up at muapi.ai to access Veo 4 endpoints)
  • pip for installing the veo-4-api Python package
  • An MCP-compatible client such as Claude Desktop or Cursor
1

Install the veo-4-api package

Install the Python package from PyPI. This installs both the SDK and the bundled MCP server script.

pip install veo-4-api
2

Get your MUApi key

Sign up or log in at muapi.ai, navigate to your account dashboard, and copy your API key. This key authenticates all Veo 4 video generation requests.

3

Create a .env file with your credentials

Create a .env file in your project directory (or set the environment variable directly) containing your MUApi key.

echo 'MUAPI_API_KEY=your_muapi_api_key_here' > .env
4

Run the MCP server

Start the bundled MCP server script. This launches the stdio-based MCP server that your client will communicate with.

python3 mcp_server.py
5

Add the server to your MCP client config

Configure your MCP client to launch the Veo 4 MCP server as a subprocess, passing the API key as an environment variable.

{
  "mcpServers": {
    "veo4": {
      "command": "python3",
      "args": ["/path/to/veo-4-api/mcp_server.py"],
      "env": {
        "MUAPI_API_KEY": "your_muapi_api_key_here"
      }
    }
  }
}

Veo 4 API Examples

Client configuration

claude_desktop_config.json entry for the Veo 4 API MCP server. Update the path to match where you cloned or installed the package.

{
  "mcpServers": {
    "veo4": {
      "command": "python3",
      "args": ["/Users/yourname/Veo-4-API/mcp_server.py"],
      "env": {
        "MUAPI_API_KEY": "your_muapi_api_key_here"
      }
    }
  }
}

Prompts to try

Natural-language prompts for generating and editing videos through your AI assistant.

- "Generate a 10-second 4K video of a cinematic tracking shot through a lush rainforest"
- "Create a video from this image with a slow zoom-out camera movement"
- "Make a video of a person walking on a beach at sunset with synchronized ocean wave sounds"
- "Extend this 8-second clip to 20 seconds, maintaining the same visual style"
- "Edit the video to change the background from a city street to a mountain road"

Troubleshooting Veo 4 API

MUAPI_API_KEY not set or invalid

Ensure the MUAPI_API_KEY environment variable is set to your actual key from muapi.ai. If using a .env file, confirm python-dotenv is installed and the file is in the working directory where mcp_server.py is run.

Video generation request times out

4K video generation can take 30–120 seconds. The mcp_server.py uses api.wait_for_completion() with polling. If requests time out, check the MUApi dashboard for queue status and increase any timeout settings in your client.

mcp_server.py not found after pip install

Clone the repository directly with `git clone https://github.com/Anil-matcha/Veo-4-API.git` and run `pip install -r requirements.txt`. Then point your config to the cloned mcp_server.py path.

Frequently Asked Questions about Veo 4 API

What is Veo 4 API?

Veo 4 API is a Model Context Protocol (MCP) server that python wrapper for veo 4 api by google deepmind — native 4k ai video with integrated audio, character consistency & advanced camera controls. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Veo 4 API?

Follow the installation instructions on the Veo 4 API GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Veo 4 API?

Veo 4 API works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Veo 4 API free to use?

Yes, Veo 4 API is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "veo-4-api": { "command": "npx", "args": ["-y", "veo-4-api"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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