Voice Transcriber MCP Server
Automatically transcribes Google Chat voice messages using Groq Whisper API, and also supports local audio file transcription.
README
<!-- mcp-name: io.github.fgasparetto/voice-transcriber-mcp -->
Voice Transcriber MCP Server
MCP server that automatically transcribes Google Chat voice messages using Groq Whisper API (whisper-large-v3). No local GPU needed.
When Claude Code encounters an audio attachment in a Google Chat message, this server transcribes it immediately without asking for confirmation.
Features
- Transcribe Google Chat voice messages by URL (automatic)
- Transcribe local audio files (mp3, m4a, wav, ogg, flac, webm, aac)
- Uses Groq Whisper API (free tier, fast, cloud-based)
- Reuses Google Chat OAuth2 credentials (no separate Google auth needed)
Prerequisites
1. Groq API Key (free)
- Go to console.groq.com/keys
- Create a free account
- Generate an API key
- You'll set this as
GROQ_API_KEYin your MCP config (see below)
2. Google Chat OAuth2 Token
This server needs a valid Google Chat OAuth2 token (token.json) to fetch messages and download audio attachments.
If you already use a Google Chat MCP server (e.g. multi-chat-mcp-server), the token is already available. Default path:
~/tools/multi-chat-mcp-server/src/providers/google_chat/token.json
If your token is in a different location, set the GCHAT_TOKEN_PATH environment variable.
If you don't have a Google Chat token yet, you need to:
- Create a Google Cloud project with Chat API enabled
- Create OAuth2 credentials (Desktop app)
- Run the OAuth flow to generate
token.jsonwith scopes:https://www.googleapis.com/auth/chat.messages.readonlyhttps://www.googleapis.com/auth/chat.spaces.readonly
3. uv (Python package manager)
| OS | Command |
|---|---|
| Linux / macOS / WSL | curl -LsSf https://astral.sh/uv/install.sh | sh |
| Windows | powershell -c "irm https://astral.sh/uv/install.ps1 | iex" |
Verify: uv --version
Installation
git clone https://github.com/fgasparetto/voice-transcriber-mcp.git
cd voice-transcriber-mcp
uv sync
Configuration
Add to your Claude Code MCP config (.mcp.json or ~/.claude.json):
{
"mcpServers": {
"voice-transcriber": {
"type": "stdio",
"command": "uv",
"args": [
"--directory", "/path/to/voice-transcriber-mcp",
"run", "python", "server.py"
],
"env": {
"GROQ_API_KEY": "gsk_your_groq_api_key_here"
}
}
}
}
Replace:
/path/to/voice-transcriber-mcpwith the actual clone directorygsk_your_groq_api_key_herewith your Groq API key
Environment Variables
| Variable | Required | Default | Description |
|---|---|---|---|
GROQ_API_KEY |
Yes | — | Groq API key (get one free) |
GCHAT_TOKEN_PATH |
No | ~/tools/multi-chat-mcp-server/src/providers/google_chat/token.json |
Path to Google Chat OAuth2 token |
Tools
transcribe_voice_message
Transcribe a voice message from Google Chat. Called automatically by Claude when it encounters an audio attachment.
transcribe_voice_message(
message_url="https://chat.google.com/dm/SPACE/THREAD/MSG",
language="it"
)
transcribe_audio_file
Transcribe a local audio file.
transcribe_audio_file(
file_path="/tmp/recording.m4a",
language="it"
)
Platform Notes
Linux
No additional steps. Ensure uv is in your PATH.
macOS
- If
uvnot found after install:export PATH="$HOME/.local/bin:$PATH"
Windows (WSL)
Claude Code runs inside WSL. All paths must be Linux-style:
- Token path:
/home/USER/tools/...(NOT/mnt/c/...) - If
uvnot found:source ~/.bashrcor add~/.local/binto PATH
Troubleshooting
| Problem | Solution |
|---|---|
GROQ_API_KEY not set |
Add it to the env section in your MCP config |
Google Chat token not found |
Set GCHAT_TOKEN_PATH or authenticate your Google Chat MCP |
Groq API error 413 |
Audio file too large (Groq limit: 25MB) |
uv: command not found |
Install uv (see Prerequisites) |
How It Works
Claude Code → MCP tool call → server.py
1. Parse Google Chat URL
2. Fetch message via Google Chat API (OAuth2 token)
3. Download audio attachment via media API
4. Send to Groq Whisper API (whisper-large-v3)
5. Return transcribed text
License
MIT
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