Gemini Image and Audio generation

MCP Server for Gemini Image and Audio generation

MCP Server for Gemini Image and Audio generation using Google's Gemini AI models.

- Generate images from textusing Gemini's Flash Image model
- Generate audio from textusing Gemini 2.5 Flash Preview TTS model

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

You need a Google Gemini API key to use this server. Get one fromGoogle AI Studio.

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

SeeCLAUDE_CONFIG.mdfor detailed instructions.

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

Or paste server configuration intollms .py MCP Servers:

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

For development, you can run this server usinguv:

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

Generate images from text descriptions using Gemini's image generation models.

- prompt(string, required): Text description of the image to generate
- model(string, optional): Gemini model to use

- gemini-2.5-flash-image(default)
- gemini-3-pro-image-preview

- Supported:1:1,2:3,3:2,3:4,4:3,4:5,5:4,9:16,16:9,21:9

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

Generate audio/speech from text using Gemini's TTS models. Output is saved as WAV format.

- text(string, required): Text to convert to speech
- model(string, optional): Gemini TTS model to use

- gemini-2.5-flash-preview-tts(default)
- gemini-2.5-pro-preview-tts

{ "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 

This project is licensed under the MIT License - see theLICENSEfile for details.

For issues and questions, please use theGitHub Issuespage.

- Built withFastMCP
- Powered byGoogle Gemini AI

- PyPI Package
- GitHub Repository
- Google AI Studio
- MCP Documentation

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