MCP Video Generation with Veo2
About
MCP for Video- or Image-Generation with Google VEO2
Details
- License
- MIT
Explore
- Generate videos from text prompts
- Generate videos from images
- Access generated videos through MCP resources
- Example video generation templates
- Support for both stdio and SSE transports
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP Video Generation with Veo2Command (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
- Node.js 18 or higher
- Google API key with access to Gemini API and Veo2 model (= You need to set up a credit card with your API key! -> Go to aistudio.google.com )
1. Click Add Server
2. Copy & Paste Github URL into FLUJO
3. Click Parse, Clone, Install, Build and Save.
To install mcp-video-generation-veo2 for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @mario-andreschak/mcp-veo2 --client claude
1. Clone the repository:
git clone https://github.com/yourusername/mcp-video-generation-veo2.git
cd mcp-video-generation-veo2
2. Install dependencies:
npm install
3. Create a .env file with your Google API key:
```bash
cp .env.example .env
The server exposes the following MCP tools:
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp video generation with veo2": {
"mcp-veo2": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@mario-andreschak/mcp-veo2",
"--client",
"claude"
]
}
}
}
}McpServers
{
"mcp-veo2": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@mario-andreschak/mcp-veo2",
"--client",
"claude"
]
}
}This project implements a Model Context Protocol (MCP) server that exposes Google's Veo2 video generation capabilities. It allows clients to generate videos from text prompts or images, and access the generated videos through MCP resources.
<a href="https://glama.ai/mcp/servers/@mario-andreschak/mcp-veo2">
</a>
Features
- Generate videos from text prompts
- Generate videos from images
- Access generated videos through MCP resources
- Example video generation templates
- Support for both stdio and SSE transports
Example Images
Example Image to Video
Image to Video - from Grok generated puppyImage to Video - from real cat
Prerequisites
- Node.js 18 or higher
- Google API key with access to Gemini API and Veo2 model (= You need to set up a credit card with your API key! -> Go to aistudio.google.com )
Installation
Installing in FLUJO
1. Click Add Server 2. Copy & Paste Github URL into FLUJO 3. Click Parse, Clone, Install, Build and Save.Installing via Smithery
To install mcp-video-generation-veo2 for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @mario-andreschak/mcp-veo2 --client claude
Manual Installation
1. Clone the repository: git clone https://github.com/yourusername/mcp-video-generation-veo2.git
cd mcp-video-generation-veo2
2. Install dependencies:
npm install
3. Create a .env file with your Google API key:
cp .env.example .env
# Edit .env and add your Google API key
The .env file supports the following variables:
- GOOGLE_API_KEY: Your Google API key (required)
- PORT: Server port (default: 3000)
- STORAGE_DIR: Directory for storing generated videos (default: ./generated-videos)
- LOG_LEVEL: Logging level (default: fatal)
- Available levels: verbose, debug, info, warn, error, fatal, none
- For development, set to debug or info for more detailed logs
- For production, keep as fatal to minimize console output
4. Build the project:
npm run build
Usage
Starting the Server
You can start the server with either stdio or SSE transport:
stdio Transport (Default)
```bash
npm start
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
