MCP 服务器

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-ng on macOS, apt install espeak-ng on 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.

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.