README.md•5.12 kB
# MCP Video Generation with Veo2
[](https://smithery.ai/server/@mario-andreschak/mcp-video-generation-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">
<img width="380" height="200" src="https://glama.ai/mcp/servers/@mario-andreschak/mcp-veo2/badge" alt="Video Generation with Veo2 MCP server" />
</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 puppy](https://github.com/mario-andreschak/mcp-veo2/raw/refs/heads/main/example-files/2a6a0807-d323-4424-a48a-e40a82b883bb.mp4)
[Image to Video - from real cat](https://github.com/mario-andreschak/mcp-veo2/raw/refs/heads/main/example-files/55b9f28b-61a6-423e-bb86-f3791c639177.mp4)
## 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](https://github.com/mario-andreschak/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](https://smithery.ai/server/@mario-andreschak/mcp-veo2):
```bash
npx -y @smithery/cli install @mario-andreschak/mcp-veo2 --client claude
```
### Manual Installation
1. Clone the repository:
```bash
git clone https://github.com/yourusername/mcp-video-generation-veo2.git
cd mcp-video-generation-veo2
```
2. Install dependencies:
```bash
npm install
```
3. Create a `.env` file with your Google API key:
```bash
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:
```bash
npm run build
```
## Usage
### Starting the Server
You can start the server with either stdio or SSE transport:
#### stdio Transport (Default)
```bash
npm start
# or
npm start stdio
```
#### SSE Transport
```bash
npm start sse
```
This will start the server on port 3000 (or the port specified in your `.env` file).
### MCP Tools
The server exposes the following MCP tools:
#### generateVideoFromText
Generates a video from a text prompt.
Parameters:
- `prompt` (string): The text prompt for video generation
- `config` (object, optional): Configuration options
- `aspectRatio` (string, optional): "16:9" or "9:16"
- `personGeneration` (string, optional): "dont_allow" or "allow_adult"
- `numberOfVideos` (number, optional): 1 or 2
- `durationSeconds` (number, optional): Between 5 and 8
- `enhancePrompt` (boolean, optional): Whether to enhance the prompt
- `negativePrompt` (string, optional): Text describing what not to generate
Example:
```json
{
"prompt": "Panning wide shot of a serene forest with sunlight filtering through the trees, cinematic quality",
"config": {
"aspectRatio": "16:9",
"personGeneration": "dont_allow",
"durationSeconds": 8
}
}
```
#### generateVideoFromImage
Generates a video from an image.
Parameters:
- `image` (string): Base64-encoded image data
- `prompt` (string, optional): Text prompt to guide the video generation
- `config` (object, optional): Configuration options (same as above, but personGeneration only supports "dont_allow")
#### listGeneratedVideos
Lists all generated videos.
### MCP Resources
The server exposes the following MCP resources:
#### videos://{id}
Access a generated video by its ID.
#### videos://templates
Access example video generation templates.
## Development
### Project Structure
- `src/`: Source code
- `index.ts`: Main entry point
- `server.ts`: MCP server configuration
- `config.ts`: Configuration handling
- `tools/`: MCP tool implementations
- `resources/`: MCP resource implementations
- `services/`: External service integrations
- `utils/`: Utility functions
### Building
```bash
npm run build
```
### Development Mode
```bash
npm run dev
```
## License
MIT