Gemini Audio MCP
# ๐ต Gemini Audio MCP
[](https://github.com/mcp-servers/gemini-audio-mcp)
[](https://ai.google.dev/)
[](https://deepmind.google/technologies/lyria/)
**Gemini Audio MCP** is a high-performance Model Context Protocol (MCP) server engineered for professional-grade audio synthesis. It leverages the **Gemini 2.5 Multimodal Live API** and Google DeepMind's **Lyria 3** models to deliver high-fidelity environmental soundscapes, musical compositions, and expressive narration on-demand.
---
## ๐ Prerequisites
Before deploying the server, ensure your environment meets the following technical requirements:
### 1. FFmpeg (Core Processing Engine)
Required for high-performance audio encoding, decoding, and transcoding.
- **macOS**: `brew install ffmpeg`
- **Windows**: `winget install ffmpeg` or download from [ffmpeg.org](https://ffmpeg.org/).
- **Linux (Ubuntu/Debian)**: `sudo apt update && sudo apt install ffmpeg`
### 2. Rust Toolchain (Compilation)
Required to build the server from source.
- Install via [rustup.rs](https://rustup.rs/): `curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh`
### 3. Node.js & NPM (Runtime)
Required if using the pre-compiled NPM package.
- Version: `node >= 18.0.0`
---
## ๐ Installation & Deployment
### Global Installation (via NPX)
The fastest way to integrate the server into your MCP client (e.g., Claude Desktop).
```json
{
"mcpServers": {
"gemini-audio": {
"command": "npx",
"args": ["-y", "gemini-audio-mcp"],
"env": {
"GEMINI_API_KEY": "YOUR_SECURE_API_KEY"
}
}
}
}
```
### Manual Build (Optimized)
For maximum performance, build the Rust binary locally:
1. **Clone & Build**:
```bash
git clone https://github.com/mcp-servers/gemini-audio-mcp.git
cd gemini-audio-mcp
cargo build --release
```
2. **Locate Binary**: The optimized binary will be in `./target/release/gemini-audio-mcp`.
---
## ๐ API Key Management
The server requires a valid Google AI Studio API key.
1. Obtain your key from [Google AI Studio](https://aistudio.google.com/).
2. **Security Best Practice**: Never hardcode keys. Inject the key via the `GEMINI_API_KEY` environment variable.
3. **Tier Note**: Access to Lyria 3 (Pro/Clip) models typically requires a **Paid Tier** or specific preview access in Google AI Studio.
---
## ๐ฎ Tool Usage Guide
### 1. Environmental Generation (`generate_soundscape`)
Synthesizes immersive, vocal-free ambient textures.
```json
{
"name": "generate_soundscape",
"arguments": {
"prompt": "Deep underwater abyss, low-frequency whale songs, rhythmic air bubbles rising, muffled aquatic pressure.",
"duration": 60,
"quality": "high",
"auto_play": true
}
}
```
### 2. Professional Music (`generate_music`)
Generates structural compositions with optional vocal control.
```json
{
"name": "generate_music",
"arguments": {
"prompt": "Melancholic solo cello in a vast cathedral with 5-second decay reverb.",
"bpm": 72,
"song_key": "D minor",
"intensity": 4
}
}
```
### 3. Expressive Voice (`generate_voice`)
Narration and character dialogue using Gemini 2.5 Native Audio.
```json
{
"name": "generate_voice",
"arguments": {
"text": "The artifacts are stable, but the rift remains open.",
"voice_direction": "Gravelly, urgent, whispered"
}
}
```
### 4. Dynamic Evolution (`transition_soundscape`)
Crossfades two distinct environments for seamless scene transitions.
```json
{
"name": "transition_soundscape",
"arguments": {
"from_prompt": "Quiet library silence.",
"to_prompt": "Sudden heavy rain on a tin roof.",
"transition_duration": 8
}
}
```
---
## โ๏ธ Advanced Parameters
| Parameter | Type | Description |
| :--- | :--- | :--- |
| `seed` | `Integer` | Ensures deterministic, reproducible audio outputs. |
| `image_path` | `String` | **Multimodal**: Uses a local image to guide the acoustic mood (e.g., resonance). |
| `bpm` | `Number` | Explicitly sets the rhythmic tempo (essential for music). |
| `intensity` | `Number` | 1-10 scale controlling dynamic range and complexity. |
| `guidance` | `Number` | 0.0-6.0 scale for prompt adherence (Lyria models). |
| `duration` | `Number` | Target length in seconds. Triggers the **Seamless Looping Engine**. |
---
## ๐ฌ Architecture Overview
Gemini Audio MCP employs a unique **Hybrid Engine Strategy**:
- **WebSocket Loop**: Connects to Gemini 2.5 Live for low-latency, interactive voice and foley tasks.
- **REST Pipeline**: Interfaces with Lyria 3 Pro for high-fidelity musical synthesis.
- **PCM Processing**: An internal Rust-based loop (`decode -> crossfade -> loop -> encode`) ensures that short clips are transformed into seamless, infinite soundscapes without audible clicks.
---
## ๐งช Troubleshooting
### FFmpeg Errors
- **"FFmpeg not found"**: Ensure `ffmpeg` is in your system PATH. Run `ffmpeg -version` in your terminal to verify.
- **Transcoding Failures**: Check if you have the necessary codecs (e.g., `libmp3lame` for MP3). Most standard FFmpeg installations include these.
### API Issues
- **429 Rate Limit**: The server implements a semaphore to limit concurrency, but ensure your API tier supports the requested model.
- **Empty Audio Output**: Verify your `GEMINI_API_KEY` is correct and that your account has access to the requested model (especially `lyria-3-pro-preview`).
---
## ๐ License
Licensed under the **MIT License**. Engineered with precision by the MCP community.
TDQS
Scored across 9 tools
Each tool has a clearly distinct purpose with no overlap. The four generation tools target different audio types (music, sfx, soundscape, voice), while utility tools handle distinct lifecycle phases (dependencies, configuration, cleanup, playback). Transition_soundscape is unambiguously a composite operation for scene changes.
Strong adherence to snake_case verb_noun pattern (generate_music, cleanup_assets, play_audio). The only deviation is 'configure' which lacks a noun object, though this is idiomatic for settings management. All generation tools use consistent 'generate_' prefix.
Nine tools is well-scoped for an audio generation server. The set covers four generation modes, configuration, dependency checking, playback, cleanup, and transitions without bloat. Each tool earns its place in the audio creation workflow.
Covers the full generation lifecycle with creation, playback, configuration, and cleanup capabilities. Minor gap in asset inventory managementโthere is no tool to list or retrieve specific generated assets by ID, only bulk cleanup by age, though agents may track assets themselves.