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Gemini Audio MCP

Gemini Audio MCP

by jxoesneon

🎵 Gemini Audio MCP

Institutional Grade Gemini 2.5 Lyria 3

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


Related MCP server: Talky Talky

🚀 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-mcp.git
    cd gemini-audio-mcp
    cargo build --release
  2. 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.

  1. Obtain your key from Google AI Studio.

  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.


🎮 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 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).


📄 License

Licensed under the MIT License. Engineered with precision by the MCP community.

Available Tools

9 tools
check_dependenciesB

Verifies that the system has required external tools like FFmpeg installed and accessible.

Inputs: no named parameters.

cleanup_assetsA

Manually trigger deletion of generated audio assets that exceed a certain age (in hours) to save disk space.

Inputs: max_age_hours.

configureA

View or update persistent server settings like default audio format, sample rate, and automatic cleanup intervals. Call with no arguments to see current values.

Inputs: default_format, default_duration, default_bitrate, default_sample_rate, +3 more.

generate_musicA

Generates full songs, loops, or musical segments. Best for melodic content, rhythm, and structured compositions. (PAID MODELS - Pro: $0.08, Clip: $0.04).

Inputs: prompt (required), model, format, auto_play.

generate_sfxA

Generates isolated, short-duration sound effects and foley (e.g., 'A laser blast' or 'Footsteps on gravel'). Best for specific one-shot audio cues. Uses Lyria-3-clip-preview ($0.04/req).

Inputs: prompt (required), format, auto_play.

generate_soundscapeB

Generates immersive, high-quality environmental soundscapes (e.g., 'A rainy forest with distant thunder'). Best for background ambience and complex layered textures. Uses Gemini 2.0 Live.

Inputs: prompt (required), duration, format, bitrate, +3 more.

generate_voiceA

Generates expressive speech and narration from text. Best for scripts, character dialogue, and narration. Uses Gemini 2.5 Native Audio.

Inputs: text (required), voice_direction, format, auto_play.

play_audioA

Plays any local audio file using the system's default media player (e.g., 'afplay' on macOS).

Inputs: path (required).

transition_soundscapeA

Generates two distinct soundscapes and creates a smooth crossfade transition between them. Ideal for evolving scenes or changing environments.

Inputs: from_prompt (required), to_prompt (required), transition_duration, format, +1 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.8/5.0

    Scored across 9 tools

    Disambiguation5/5

    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.

    Naming Consistency4/5

    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.

    Tool Count5/5

    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.

    Completeness4/5

    Covers the full generation lifecycle with creation, playback, configuration, and cleanup capabilities. Minor gap in asset inventory management—there is no tool to list or retrieve specific generated assets by ID, only bulk cleanup by age, though agents may track assets themselves.

    Maintenance

    ActivityMaintained
    ResponsivenessOutdated data

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