How do I use claude-voice-input?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@claude-voice-input listen to me" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

claude-voice-input

by Baseline-quebec

Overview Schema Related Servers Score Discussions

Python

Local

claude-voice-input

Serveur MCP local pour parler a Claude au lieu de taper. Utilise faster-whisper pour la transcription entierement locale — rien n'est envoye dans le cloud.

Architecture

graph LR
    A[Microphone] -->|Audio| B[recorder.py]
    B -->|WAV bytes| C[faster-whisper]
    C -->|Texte| D[Serveur MCP]
    D -->|stdio| E[Claude Code]

    style A fill:#f9f,stroke:#333
    style E fill:#58f,stroke:#333

Related MCP server: simple-asr-mcp

Flux de fonctionnement

sequenceDiagram
    participant U as Utilisateur
    participant CC as Claude Code
    participant MCP as Serveur MCP Voice
    participant R as Recorder
    participant W as Whisper

    U->>CC: "ecoute-moi"
    CC->>MCP: voice_listen(language="fr")
    MCP->>R: record_audio()
    R->>R: Capture micro + detection silence
    R-->>MCP: WAV bytes
    MCP->>W: transcribe(audio)
    W-->>MCP: Texte transcrit
    MCP-->>CC: "Bonjour, je voudrais..."
    CC->>CC: Utilise le texte comme contexte
    CC-->>U: Repond a l'instruction vocale

Composants

graph TD
    subgraph "claude-voice-input"
        S[server.py<br/>Serveur MCP FastMCP] --> R[recorder.py<br/>Capture audio + silence]
        S --> W[faster-whisper<br/>Transcription locale]
    end

    subgraph "Outils MCP exposes"
        T1[voice_listen<br/>Micro → texte]
        T2[voice_transcribe_file<br/>Fichier → texte]
    end

    S --> T1
    S --> T2

Installation rapide

curl -fsSL https://raw.githubusercontent.com/Baseline-quebec/claude-voice-input/main/install.sh | bash

Le script fait tout automatiquement :

Verifie Python 3.10+
Installe PortAudio si manquant
Clone le repo dans ~/.claude-voice-input
Cree un venv dedie et installe les dependances
Configure le serveur MCP dans ~/.claude/settings.json

Avec un modele specifique

curl -fsSL https://raw.githubusercontent.com/Baseline-quebec/claude-voice-input/main/install.sh | WHISPER_MODEL=medium bash

Installation manuelle

git clone https://github.com/Baseline-quebec/claude-voice-input.git
cd claude-voice-input

# Dependance systeme (PortAudio)
sudo apt install portaudio19-dev   # Ubuntu/Debian
brew install portaudio              # macOS

# Installer
pip install -e .

Ajouter dans ~/.claude/settings.json :

{
  "mcpServers": {
    "voice": {
      "command": "/chemin/vers/venv/bin/claude-voice-input",
      "env": {
        "WHISPER_MODEL": "base",
        "WHISPER_DEVICE": "auto",
        "WHISPER_COMPUTE_TYPE": "int8"
      }
    }
  }
}

Configuration

Variables d'environnement

Variable	Defaut	Description
`WHISPER_MODEL`	`base`	Modele Whisper (voir tableau ci-dessous)
`WHISPER_DEVICE`	`auto`	`cpu`, `cuda`, ou `auto`
`WHISPER_COMPUTE_TYPE`	`int8`	`int8`, `float16`, `float32`
`CLAUDE_VOICE_DIR`	`~/.claude-voice-input`	Repertoire d'installation

Modeles Whisper

quadrantChart
    title Compromis vitesse vs qualite
    x-axis Lent --> Rapide
    y-axis Basse qualite --> Haute qualite
    tiny: [0.9, 0.25]
    base: [0.75, 0.45]
    small: [0.5, 0.65]
    medium: [0.3, 0.8]
    large-v3: [0.1, 0.95]

Modele	RAM	Vitesse	Qualite	Cas d'usage
`tiny`	~1 Go	Tres rapide	Correcte	Tests, instructions simples
`base`	~1 Go	Rapide	Bonne	Usage quotidien (recommande)
`small`	~2 Go	Moyen	Tres bonne	Contexte technique
`medium`	~5 Go	Lent	Excellente	Dictee longue, accents forts
`large-v3`	~10 Go	Tres lent	Maximale	Transcription de precision

Outils MCP

`voice_listen`

Enregistre depuis le microphone et transcrit au silence.

Parametre	Type	Defaut	Description
`language`	`str`	`"fr"`	Code langue (`"fr"`, `"en"`, etc.)
`silence_duration`	`float`	`2.0`	Secondes de silence avant arret
`max_duration`	`float`	`120.0`	Duree maximale d'enregistrement

`voice_transcribe_file`

Transcrit un fichier audio existant.

Parametre	Type	Defaut	Description
`file_path`	`str`	—	Chemin du fichier (wav, mp3, m4a, etc.)
`language`	`str`	`"fr"`	Code langue

Exemples d'utilisation dans Claude Code

> ecoute-moi
  [Claude appelle voice_listen, vous parlez, il recoit le texte]

> transcris le fichier ~/meeting.wav
  [Claude appelle voice_transcribe_file]

> ecoute mes instructions en anglais
  [Claude appelle voice_listen avec language="en"]

Mise a jour

Relancer le script d'installation — il fait un git pull automatiquement :

curl -fsSL https://raw.githubusercontent.com/Baseline-quebec/claude-voice-input/main/install.sh | bash

Licence

MIT — Baseline

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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