Gemini Audio Mcp
Wraps Google's Gemini 2.5 Live API and DeepMind's Lyria 3 models for audio synthesis tasks. Exposes four main tools: generate_soundscape for ambient textures, generate_music for structured compositions with BPM and key control, generate_voice for narration using native audio, and transition_soundscape for crossfading between environments. Uses a hybrid architecture with WebSocket connections for voice and REST calls for music generation, plus an internal Rust pipeline that handles PCM looping to extend short clips into seamless audio. Requires FFmpeg for transcoding and a Google AI Studio API key with Lyria access. Reach for this when you need programmatic audio generation in Claude workflows, like building soundscapes for games, generating background music, or creating dynamic narration.
- tools
- 4
- auth
- Secret needed
- transport
- STDIO
- env var
- 1
- last updated
- Apr 3, 2026
Tools
4 toolsPublic tool metadata for what this MCP can expose to an agent.
generate_soundscapeSynthesizes immersive, vocal-free ambient textures.
Synthesizes immersive, vocal-free ambient textures.
No parameter schema in public metadata yet.
generate_musicGenerates structural compositions with optional vocal control.
Generates structural compositions with optional vocal control.
No parameter schema in public metadata yet.
generate_voiceNarration and character dialogue using Gemini 2.5 Native Audio.
Narration and character dialogue using Gemini 2.5 Native Audio.
No parameter schema in public metadata yet.
transition_soundscapeCrossfades two distinct environments for seamless scene transitions.
Crossfades two distinct environments for seamless scene transitions.
No parameter schema in public metadata yet.
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GEMINI_API_KEY*secretYour Google AI Studio API Key
Readme
šµ 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.
š 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
Details
- Repository
- github.com/jxoesneon/gemini-audio-mcp
- Categories
- AI & LLM Tools, Media & Entertainment
- Package
ghcr.io/jxoesneon/gemini-audio-mcp:0.1.0- Transport
- STDIO
- Auth
- Required
- Registry
- MCP registry, active
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