pip install gemini-gen-mcp

git clone https://github.com/ServiceStack/gemini-gen-mcp.git
cd gemini-gen-mcp
pip install -e .

export GEMINI_API_KEY='your-api-key-here'
export GEMINI_DOWNLOAD_PATH='/path/to/downloads'  # optional

gemini-gen-mcp

python -m gemini_gen_mcp.server

{
  "mcpServers": {
    "gemini-gen": {
      "description": "Gemini Image and Audio TTS generation",
      "command": "uvx",
      "args": [
        "gemini-gen-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "$GEMINI_API_KEY"
      }
    }
  }
}

{
  "description": "Gemini Image and Audio TTS generation",
  "command": "uvx",
  "args": [
    "gemini-gen-mcp"
  ],
  "env": {
    "GEMINI_API_KEY": "$GEMINI_API_KEY"
  }
}

{
  "mcpServers": {
    {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/path/to/ServiceStack/gemini-gen-mcp",
        "gemini-gen-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "$GEMINI_API_KEY"
      }
    }
  }
}

{
  "prompt": "A serene mountain landscape at sunset with a lake",
  "model": "gemini-2.5-flash-image",
  "aspect_ratio": "16:9",
  "temperature": 1.0
}

{
  "text": "Hello, this is a test of the Gemini text to speech system.",
  "model": "gemini-2.5-flash-preview-tts",
  "voice": "Kore"
}

# Clone the repository
git clone https://github.com/ServiceStack/gemini-gen-mcp.git
cd gemini-gen-mcp

# Install in editable mode with dependencies
pip install -e .

# Install test dependencies
pip install pytest pytest-asyncio

# Run tests

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## Support

For issues and questions, please use the [GitHub Issues](https://github.com/ServiceStack/gemini-gen-mcp/issues) page.

## Acknowledgments

- Built with [FastMCP](https://github.com/jlowin/fastmcp)
- Powered by [Google Gemini AI](https://ai.google.dev/)

## Links

- [PyPI Package](https://pypi.org/project/gemini-gen-mcp/)
- [GitHub Repository](https://github.com/ServiceStack/gemini-gen-mcp)
- [Google AI Studio](https://aistudio.google.com/)
- [MCP Documentation](https://modelcontextprotocol.io/)