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waxberry-dev/live-translate-mcp

waxberry-dev/live-translate-mcp

MCP server for local speech translation (EN ↔ 中文) via Whisper + Claude + Piper
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add live-translate-mcp -- npx -y live-translate-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
3 ★ · waxberry-dev/live-translate-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 3 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 waxberry-dev/live-translate-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

live-translate-mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**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 _translated.wav next to the original, and plays it automatically.
**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:
Or install globally:
**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
Restart Claude Desktop. You'll see live-translate appear in the tools panel.
---
Claude Code setup
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) | ✓ | ✓ | ✓ |
来源
awesome · https://github.com/waxberry-dev/live-translate-mcp
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