Skip to main content

MCP server for transcribing Google Chat voice messages using Groq Whisper API

Project description

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)

  1. Go to console.groq.com/keys
  2. Create a free account
  3. Generate an API key
  4. You'll set this as GROQ_API_KEY in 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:

  1. Create a Google Cloud project with Chat API enabled
  2. Create OAuth2 credentials (Desktop app)
  3. Run the OAuth flow to generate token.json with scopes:
    • https://www.googleapis.com/auth/chat.messages.readonly
    • https://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-mcp with the actual clone directory
  • gsk_your_groq_api_key_here with 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 uv not 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 uv not found: source ~/.bashrc or add ~/.local/bin to 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

voice_transcriber_mcp-2.1.0.tar.gz (64.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

voice_transcriber_mcp-2.1.0-py3-none-any.whl (71.3 kB view details)

Uploaded Python 3

File details

Details for the file voice_transcriber_mcp-2.1.0.tar.gz.

File metadata

  • Download URL: voice_transcriber_mcp-2.1.0.tar.gz
  • Upload date:
  • Size: 64.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.21 {"installer":{"name":"uv","version":"0.9.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"25.10","id":"questing","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for voice_transcriber_mcp-2.1.0.tar.gz
Algorithm Hash digest
SHA256 2d3cd688f12094469f5208893df89bbb27d2d6cd29a5c08cd94035c3ecca5c98
MD5 a664eaf352a056700dd398bed851d24e
BLAKE2b-256 c9453e8a248f804571b28ec3a87951559385624649f0799a62e0dad559e3c3fe

See more details on using hashes here.

File details

Details for the file voice_transcriber_mcp-2.1.0-py3-none-any.whl.

File metadata

  • Download URL: voice_transcriber_mcp-2.1.0-py3-none-any.whl
  • Upload date:
  • Size: 71.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.21 {"installer":{"name":"uv","version":"0.9.21","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"25.10","id":"questing","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for voice_transcriber_mcp-2.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7ef75032b83be94e4707fbfc7f89bfa18c38be0cc40bc4c6c455dad1621b5a15
MD5 063f01da1ff216554f2cd4558b180467
BLAKE2b-256 40aa9458859404b10daa783139f966f91bc62a9195c7047fef70090a79216347

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page