gemini-audio-mcpSAFE

[](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.

🛠 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.
• 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:

1. Clone & Build:

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