About io.github.jxoesneon/gemini-audio-mcp
io.github.jxoesneon/gemini-audio-mcp is an MCP server in the Data category: high-performance audio, music, and voice generation MCP server for Gemini 2.5 and Lyria 3.
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git clone https://github.com/jxoesneon/gemini-audio-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
🎵 Gemini Audio MCP
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.
🛠 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 ffmpegor download from 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:
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
🚀 Installation & Deployment
Global Installation (via NPX)
The fastest way to integrate the server into your MCP client (e.g., Claude Desktop).
{
"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:
- Clone & Build:
git clone https://github.com/mcp-servers/gemini-audio-mcp.git cd gemini-audio-mcp cargo build --release - Locate Binary: The optimized binary will be in
./target/release/gemini-audio-mcp.
🔑 API Key Management
The server requires a valid Google AI Studio API key.
- Obtain your key from Google AI Studio.
- Security Best Practice: Never hardcode keys. Inject the key via the
GEMINI_API_KEYenvironment variable. - Tier Note: Access to Lyria 3 (Pro/Clip) models typically requires a Paid Tier or specific preview access in Google AI Studio.
🎮 Tool Usage Guide
1. Environmental Generation (generate_soundscape)
Synthesizes immersive, vocal-free ambient textures.
{
"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.
{
"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.
{
"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.
{
"name": "transition_soundscape",
"arguments": {
"from_prompt": "Quiet library silence.",
"to_prompt": "Sudden heavy rain on a tin roof.",
"transition_duration": 8
}
}
⚙️ 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. |
🔬 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.
🧪 Troubleshooting
FFmpeg Errors
- "FFmpeg not found": Ensure
ffmpegis in your system PATH. Runffmpeg -versionin your terminal to verify. - Transcoding Failures: Check if you have the necessary codecs (e.g.,
libmp3lamefor 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_KEYis correct and that your account has access to the requested model (especiallylyria-3-pro-preview).
📄 License
Licensed under the MIT License. Engineered with precision by the MCP community.
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.