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Voice Transcriber MCP Server

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

Open source Open in the app JSON README (API)

About

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

Details

Kind
MCP servers
Topic
AI, RAG & memory
Publisher
fgasparetto
Origin
official
Category
ferramentas
Transport
local
Version
2.0.1
Last push
2026-03-13T09:06:04Z
Repository state
ativo
Language
Python
License
MIT
Added
2026-08-29 03:02:47
Updated
2026-08-29 03:02:47
Origin id
io.github.fgasparetto/voice-transcriber-mcp

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](https://console.groq.com/) (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](https://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](https://github.com/nicholasgasior/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

```bash
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`):

```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](https://console.groq.com/keys)) |
| `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

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