Live Translate Mcp

dev.waxberry由 waxberry.dev 發布v0.1.6更新於 Oct 24, 2026

MCP server for local speech translation (EN ↔ 中文) via Whisper + Claude + Piper

已驗證STDIO僅桌面媒體與設計AI 與機器學習

概覽

AI 產生的概覽

本機 MCP 伺服器，讓 Claude 透過 Whisper、Claude API 與 Piper TTS 轉錄、翻譯並朗讀英文與中文語音。

可以做什麼
翻譯音訊檔案：轉錄 WAV 檔，經 Claude 翻譯後合成語音，將譯文 WAV 存到原檔旁並自動播放，回傳原文、譯文與輸出路徑。翻譯原始音訊：接收 base64 編碼的 WAV，回傳轉錄文字、譯文與 base64 合成音訊。檢查就緒狀態：在翻譯前確認 Whisper 模型快取、Piper 語音檔與 espeak-ng 都已就緒。語言會在英文與中文之間自動辨識。
適用情境
適合想讓 Claude 在自己的電腦上處理英中語音翻譯的情況：音訊留在本機，只有譯文送往 Claude API。適用於會議片段、訪談或錄音的轉錄、翻譯與朗讀。
執行需求
透過 npx 或全域 npm 安裝在本機執行；需要 Node.js 18+、在 ANTHROPIC_API_KEY 提供 Anthropic API 金鑰，並安裝 espeak-ng。Whisper 模型（約 150 MB）與 Piper 語音（約 200 MB）首次使用時下載並快取於使用者家目錄；可用 PIPER_VOICE_DIR 變更語音路徑。僅支援桌面端。
安裝前請注意
需要 Anthropic API 金鑰，這是會產生費用的憑證，翻譯呼叫會產生 Claude API 費用。譯文會送往 Anthropic API，音訊本身留在本機。伺服器會在來源檔旁寫入譯文 WAV 並自動播放音訊。首次執行會下載數百 MB 的模型。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Live Translate Mcp，將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only，透過 STDIO。 STDIO 服務會啟動本機處理程序，因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

[Waxberry]

live-translate-mcp

[live-translate-mcp MCP server]

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.

[live-translate-mcp demo]

What it does

StepTechnologyWhere it runs
Speech → TextOpenAI Whisper (via @huggingface/transformers)Local
Text → TranslationClaude (Opus 4.8)Anthropic API
Translation → SpeechPiper 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:

bash
npx -y live-translate-mcp

Or install globally:

bash
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

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

bash
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

LanguageASRTranslationTTS
English✓✓✓
Mandarin Chinese (普通话)✓✓✓

Language is detected automatically from the audio — no need to specify it.

How it compares

live-translate-mcpCloud speech APIs
ASRLocal (Whisper)Remote
TranslationClaude APIRemote
TTSLocal (Piper)Remote
Audio privacyAudio stays on deviceAudio uploaded
CostClaude API onlyPer-minute pricing
OfflinePartially (ASR + TTS)No

Environment variables

VariableDefaultDescription
ANTHROPIC_API_KEY—Required. Your Anthropic API key.
PIPER_VOICE_DIR~/.live-translate/voicesPath 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

來源：README.md，提交 8d4a4af

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包，因此其工具未知。

版本歷史

1
  1. v0.1.6最新Sep 16, 2026

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