About live-translate-mcp
live-translate-mcp is a local speech-translation MCP server for English and Mandarin audio, intended for Claude Desktop and Claude Code. Whisper transcription and Piper speech synthesis run on-device; Claude handles translation through its API.
Key features
- 01Transcribe English and Mandarin audio locally
- 02Translate text through Claude
- 03Synthesize speech locally with Piper
- 04Accept WAV files or base64 audio
- 05Check dependency readiness
Use cases
- 01Translate a recorded meeting clip
- 02Convert interview audio into translated speech
- 03Check translation components before a request
MCP support
The MCP server adds `translate_file`, `translate_speech`, and `health_check` tools for Claude Desktop and Claude Code. It processes audio locally and sends translated text to the Claude API.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y live-translate-mcpANTHROPIC_API_KEYSecretYour Anthropic API keyLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project 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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.