🚀 Installation & Setup
Quick Install
# Clone the repository
git clone https://github.com/hamflx/imagen3-mcp
cd imagen3-mcp
# Install dependencies
pip install -r requirements.txt
# Run the server
python main.py
Prerequisites
- Node.js 18+ or Python 3.8+ (depending on implementation)
- MCP-compatible client (Claude Desktop, Continue, etc.)
- Basic understanding of Model Context Protocol
⚙️ Configuration
MCP Settings Configuration
{
"mcpServers": {
"imagen3-mcp": {
"command": "node",
"args": ["path/to/imagen3-mcp/dist/index.js"],
"env": {
"API_KEY": "your-api-key-here",
"DEBUG": "false"
}
}
}
}
Environment Variables
Set these environment variables based on your needs:
- • API_KEY - Your API key (if required)
- • DEBUG_MODE - Enable debug logging
- • TIMEOUT - Request timeout in seconds
💡 Usage Examples
Basic Usage
// Example: Basic usage of Imagen3 MCP
const result = await mcpClient.callTool('execute', {
input: 'your-input-here',
options: {
format: 'json',
timeout: 30000
}
});
console.log('Result:', result);
Integration Guide
This MCP server can be integrated into various AI applications and workflows. Check the GitHub repository for detailed integration examples and API documentation.
View Documentation👥 Contributors
hamflx1 contributions
❓ FAQ
How do I install this tool?
Follow the installation instructions above. Make sure you have the required dependencies installed.
Is this tool free to use?
Yes, this is an open-source MCP server available under its repository license.
How do I get support?
Check the GitHub repository for issues, documentation, and community support.
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