MCP Video Generation with Veo2
About
MCP for Video- or Image-Generation with Google VEO2
Details
- Author
- mario-andreschak
- GitHub stars
- 33
- Downloads
- 550
- Categories
- Media, AI
Jump to
- Generate videos from text prompts
- Generate videos from images
- Access generated videos through MCP resources
- Supports both stdio and SSE transports
- Configurable resolution and duration (5-8 seconds)
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
Install Node.js 18+ and obtain a Google API key with Veo2/Gemini access. Clone the repo, install dependencies (npm install), create a .env file with your GOOGLE_API_KEY, then build (npm run build). Start the server with npm start for stdio transport or npm start sse for SSE (port 3000). Use the exposed MCP tools generateVideoFromText, generateVideoFromImage, and listGeneratedVideos.
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"
]
}
}MCP Video Generation with Veo2
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
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