live-translate-mcp
Real-time English ↔ Mandarin Chinese speech translation for Claude. Transcribes audio locally with Whisper, translates via Claude API, and synthesises speech locally with Piper TTS. Pass a WAV file path. Claude handles the rest.
README
live-translate-mcp
Real-time English ↔ Mandarin speech translation for Claude — powered by Whisper, Claude AI, and Piper TTS.
Give Claude the ability to listen, translate, and speak. live-translate-mcp is a Model Context Protocol (MCP) server that adds speech translation as a native tool inside Claude Desktop and Claude Code. Hand it an audio file, and it transcribes, translates, synthesises, and plays the result — entirely on your machine, with Claude handling the translation.
What it does
| Step | Technology | Where it runs |
|---|---|---|
| Speech → Text | OpenAI Whisper (via @huggingface/transformers) |
Local |
| Text → Translation | Claude (Opus 4.8) | Anthropic API |
| Translation → Speech | Piper TTS (ONNX) | Local |
Audio never leaves your machine except for the translated text sent to the Claude API. ASR and TTS run fully on-device.
Tools
translate_file
Translate a WAV audio file. Pass an absolute path — the server transcribes it, translates the text via Claude, synthesises speech, saves <name>_translated.wav next to the original, and plays it automatically.
Translate /Users/alice/meeting_clip.wav
Returns: original text, translation, and the path to the saved output file.
translate_speech
Translate raw audio passed as a base64-encoded WAV string. Returns the transcription, translation, and synthesised audio as base64 WAV — useful for programmatic workflows.
health_check
Verify that all dependencies (Whisper model cache, Piper voice files, espeak-ng) are present and ready before making a translation request.
Installation
No installation required. Run it directly with npx:
npx -y live-translate-mcp
Or install globally:
npm install -g live-translate-mcp
Prerequisites:
- Node.js 18+
- An Anthropic API key
espeak-ng— for TTS phonemisation (brew install espeak-ngon macOS,apt install espeak-ngon Linux)
The Whisper model (~150 MB) and Piper voice models (~200 MB) download automatically on first use and are cached in ~/.live-translate/.
Claude Desktop setup
Add the following to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"live-translate": {
"command": "npx",
"args": ["-y", "live-translate-mcp"],
"env": {
"ANTHROPIC_API_KEY": "your-api-key-here"
}
}
}
}
Restart Claude Desktop. You'll see live-translate appear in the tools panel.
Claude Code setup
claude mcp add live-translate -- npx -y live-translate-mcp
Then set your API key in the environment before starting Claude Code, or pass it via the MCP env config.
Usage examples
Once configured, just ask Claude naturally:
"Translate this audio file for me: /Users/alice/recording.wav"
"Use translate_file on /tmp/interview.wav"
"Check if live-translate is ready"
Claude will call the appropriate tool automatically.
Supported languages
| Language | ASR | Translation | TTS |
|---|---|---|---|
| English | ✓ | ✓ | ✓ |
| Mandarin Chinese (普通话) | ✓ | ✓ | ✓ |
Language is detected automatically from the audio — no need to specify it.
How it compares
| live-translate-mcp | Cloud speech APIs | |
|---|---|---|
| ASR | Local (Whisper) | Remote |
| Translation | Claude API | Remote |
| TTS | Local (Piper) | Remote |
| Audio privacy | Audio stays on device | Audio uploaded |
| Cost | Claude API only | Per-minute pricing |
| Offline | Partially (ASR + TTS) | No |
Environment variables
| Variable | Default | Description |
|---|---|---|
ANTHROPIC_API_KEY |
— | Required. Your Anthropic API key. |
PIPER_VOICE_DIR |
~/.live-translate/voices |
Path to Piper .onnx voice files. |
Related
- live-translate — the standalone CLI for push-to-talk translation with no API key required, using local models end-to-end.
- Model Context Protocol — the open standard this server implements.
- Piper TTS — the local TTS engine powering speech synthesis.
Licence
MIT
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