About Voice Mode
Voice Mode adds natural voice conversations to Claude Code and other MCP-capable agents, for moments when typing is inconvenient. It supports local speech services for offline use and cloud services.
Key features
- 01Spoken conversations with assistants
- 02Optional offline speech services
- 03Silence-based recording detection
- 04Local or cloud processing
Use cases
- 01Talking while walking or cooking
- 02Giving eyes a break from screens
MCP support
Voice Mode is an MCP server that lets compatible agents converse by voice. Claude Code can install it as a plugin or connect through its MCP launcher.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
uvx voice-modeOPENAI_API_KEYSecretOpenAI API key for cloud-based STT/TTS (optional - local services can be installed)VOICEMODE_DEBUGEnable debug mode with detailed logging (true/false)VOICEMODE_SKIP_TTSSkip TTS and show text only for faster response (true/false)VOICEMODE_PREFER_LOCALPrefer local services over cloud when available (true/false, default: true)VOICEMODE_AUDIO_FORMATAudio format: pcm, mp3, wav, flac, aac, opus (default: pcm)VOICEMODE_WHISPER_MODELWhisper model: tiny, base, small, medium, large (default: base)VOICEMODE_DISABLE_SILENCE_DETECTIONDisable silence detection for continuous recording (true/false)Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEVoiceMode
Natural voice conversations with Claude Code (and other MCP capable agents)
VoiceMode enables natural voice conversations with Claude Code. Voice isn't about replacing typing - it's about being available when typing isn't.
Perfect for:
- Walking to your next meeting
- Cooking while debugging
- Giving your eyes a break after hours of screen time
- Holding a coffee (or a dog)
- Any moment when your hands or eyes are busy
See It In Action
Quick Start
Requirements: Computer with microphone and speakers
Option 1: Claude Code Plugin (Recommended)
The fastest way for Claude Code users to get started:
# Add the VoiceMode marketplace
claude plugin marketplace add mbailey/voicemode
# Install VoiceMode plugin
claude plugin install voicemode@voicemode
## Install dependencies (CLI, Local Voice Services)
/voicemode:install
# Start talking!
/voicemode:converse
Option 2: Python installer package
Installs dependencies and the VoiceMode Python package.
# Install UV package manager (if needed)
curl -LsSf https://astral.sh/uv/install.sh | sh
# Run the installer (sets up dependencies and local voice services)
uvx voice-mode-install
# Add to Claude Code
claude mcp add --scope user voicemode -- uvx --refresh --from voice-mode voicemode-mcp-launcher
# Optional: Add OpenAI API key as fallback for local services
export OPENAI_API_KEY=your-openai-key
# Start a conversation
claude converse
For manual setup, see the Getting Started Guide.
Features
- Natural conversations - speak naturally, hear responses immediately
- Works offline - optional local voice services (Whisper STT, Kokoro TTS)
- Low latency - fast enough to feel like a real conversation
- Smart silence detection - stops recording when you stop speaking
- Privacy options - run entirely locally or use cloud services
Compatibility
Platforms: Linux, macOS, Windows (native or WSL), NixOS Python: 3.10-3.14
Configuration
VoiceMode works out of the box. For customization:
# Set OpenAI API key (if using cloud services)
export OPENAI_API_KEY="your-key"
# Or configure via file
voicemode config edit
See the Configuration Guide for all options.
Permissions Setup (Optional)
To use VoiceMode without permission prompts, add to ~/.claude/settings.json:
{
"permissions": {
"allow": [
"mcp__voicemode__converse",
"mcp__voicemode__service"
]
}
}
See the Permissions Guide for more options.
Local Voice Services
For privacy or offline use, install local speech services:
- Whisper.cpp - Local speech-to-text
- Kokoro - Local text-to-speech with multiple voices
These provide the same API as OpenAI, so VoiceMode switches seamlessly between them.
Installation Details
System Dependencies by Platform
Ubuntu/Debian
sudo apt update
sudo apt install -y ffmpeg gcc libasound2-dev libasound2-plugins libportaudio2 portaudio19-dev pulseaudio pulseaudio-utils python3-dev
WSL2 users: The pulseaudio packages above are required for microphone access.
Fedora/RHEL
sudo dnf install alsa-lib-devel ffmpeg gcc portaudio portaudio-devel python3-devel
macOS
brew install ffmpeg node portaudio
NixOS
# Use development shell
nix develop github:mbailey/voicemode
# Or install system-wide
nix profile install github:mbailey/voicemode
Alternative Installation Methods
From source
git clone https://github.com/mbailey/voicemode.git
cd voicemode
uv tool install -e .
NixOS system-wide
# In /etc/nixos/configuration.nix
environment.systemPackages = [
(builtins.getFlake "github:mbailey/voicemode").packages.${pkgs.system}.default
];
Troubleshooting
| Problem | Solution |
|---|---|
| No microphone access | Check terminal/app permissions. WSL2 needs pulseaudio packages. |
| UV not found | Run curl -LsSf https://astral.sh/uv/install.sh | sh |
| OpenAI API error | Verify OPENAI_API_KEY is set correctly |
| No audio output | Check system audio settings and available devices |
Save Audio for Debugging
export VOICEMODE_SAVE_AUDIO=true
# Files saved to ~/.voicemode/audio/YYYY/MM/
Documentation
- Getting Started - Full setup guide
- Configuration - All environment variables
- Whisper Setup - Local speech-to-text
- Kokoro Setup - Local text-to-speech
- Development Setup - Contributing guide
Full documentation: voicemode.dev
Links
- Website: voicemode.dev
- GitHub: github.com/mbailey/voicemode
- PyPI: pypi.org/project/voice-mode
- YouTube: @getvoicemode
- Twitter/X: @getvoicemode
- Newsletter:
License
MIT - A Failmode Project
mcp-name: dev.voicemode/voicemode
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
