🎵 Gemini Audio MCP

Gemini Audio MCP is a high-performance Model Context Protocol (MCP) server that leverages the power of the Gemini 2.0 Multimodal Live API to generate high-fidelity, environmental soundscapes on-demand.

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🚀 Mission Statement

Our mission is to provide an immersive, AI-powered audio generation layer for any MCP-compatible environment, enabling the creation of dynamic, seamless, and high-quality environmental audio through simple text prompts.

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✨ Key Features

• 🌊 Dynamic Soundscapes: Generate complex environmental audio using the latest Gemini 2.5 Native Audio models.
• 🎵 Professional Music: High-fidelity music production via Google's Lyria 3 models:
  • Lyria 3 Pro: Full song generation with structural coherence ($0.08/req).
  • Lyria 3 Clip: Low-latency clips and rhythmic loops ($0.04/req).
• 🔁 Infinite Looping: Seamless, click-free looping with 100ms micro-crossfades.
• 🔀 Smooth Crossfades: Transition between two different soundscapes with customizable crossfade durations.
• 📂 Universal Formats: Export audio to a variety of formats (WAV, MP3, OGG, FLAC) powered by FFmpeg.
• ▶️ Auto-play Integration: Instantly play generated audio through your system's default player upon completion.
• ⚙️ Persistent Configuration: Fine-tune default bitrates, sample rates, and durations once and reuse them across sessions.

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🛠 Installation Guide

Prerequisites

1. FFmpeg: Required for audio conversion and processing.
   • macOS: brew install ffmpeg
   • Ubuntu/Debian: sudo apt install ffmpeg
   • Windows: Download from ffmpeg.org.
2. Rust Toolchain: Required for building the project (cargo).
3. Gemini API Key: Obtain your key from the Google AI Studio.

1. NPM / NPX (Recommended for non-Rust users)

Add the server directly to your MCP client configuration using npx:

{
  "mcpServers": {
    "gemini-audio": {
      "command": "npx",
      "args": ["-y", "gemini-audio-mcp"],
      "env": {
        "GEMINI_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

2. Manual Installation (Rust)

1. Clone the repository:

   git clone https://github.com/mcp-servers/gemini-audio-mcp.git
   cd gemini-audio-mcp
   

2. Build the project:

   cargo build --release
   

3. Configure your environment: Set the GEMINI_API_KEY environment variable in your MCP client or system.

3. Docker (Cloud / Self-hosted)

The server is available as a Docker image for easy deployment:

docker run -it \
  -e GEMINI_API_KEY="YOUR_API_KEY" \
  -v gemini-audio-data:/root/.local/share/gemini-audio-mcp \
  ghcr.io/jxoesneon/gemini-audio-mcp:latest

To use it in your MCP client configuration:

{
  "mcpServers": {
    "gemini-audio-docker": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "GEMINI_API_KEY=YOUR_API_KEY",
        "ghcr.io/jxoesneon/gemini-audio-mcp:latest"
      ]
    }
  }
}

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🎮 Use Cases for Game Developers & Creators

Gemini Audio MCP is designed to integrate seamlessly into modern creative workflows, particularly for those using Unreal Engine 5, Godot, or Blender:

• 🎲 Procedural Soundscapes: Generate unique, non-repeating environmental audio for open-world games or dynamic levels.
• 🗣️ Dynamic Character Dialogue: Use generate_voice with expressive direction to prototype character lines or create infinite NPC dialogue for RPGs.
• 🎥 Automated Sound Design: Perfect for Blender artists looking to generate high-quality foley and background textures for animations directly through an AI-assisted pipeline.
• ⚡ Rapid Prototyping: Instantly generate rhythmic loops and musical stings for game jams or early-stage development.

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🔧 Tool Usage Examples

Generate a Soundscape

Create an immersive 30-second loop of a cyberpunk rainy city.

{
  "name": "generate_soundscape",
  "arguments": {
    "prompt": "Heavy rain on neon-lit cyberpunk city streets, distant hover-car hums, muffled holographic advertisements.",
    "duration": 30,
    "format": "mp3",
    "auto_play": true
  }
}

Transition Between Environments

Seamlessly shift from a peaceful forest to a roaring thunderstorm.

{
  "name": "transition_soundscape",
  "arguments": {
    "from_prompt": "Quiet morning forest with chirping birds and rustling leaves.",
    "to_prompt": "Intense tropical thunderstorm with loud thunder claps and heavy downpour.",
    "transition_duration": 10,
    "auto_play": true
  }
}

Update Server Defaults

Set the default output format to FLAC for higher quality.

{
  "name": "configure",
  "arguments": {
    "default_format": "flac",
    "default_sample_rate": 48000
  }
}

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🏛 Architecture Overview

The server is built with a modular Rust architecture designed for efficiency and reliability:

• main.rs: The core MCP protocol engine handling tool registration and request dispatching.
• gemini.rs: Manages low-level WebSocket communication with the Gemini 2.0 Multimodal Live API.
• audio.rs: Handles PCM data manipulation, including seamless looping algorithms and FFmpeg integration for format transcoding.
• mixer.rs: Implements audio processing logic for crossfading and blending multiple audio streams.
• config.rs: Provides a persistent JSON-based configuration layer for user preferences.

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📄 License

Distributed under the MIT License. See LICENSE for more information.