AllVoiceLab MCP 服务器

by allvoicelab

官方 AllVoiceLab Model Context Protocol (MCP) 服务器,支持与强大的文本转语音(TTS)和视频翻译 API 进行交互。使 MCP 客户端如 Claude Desktop、Cursor、Windsurf 和 OpenAI Agents 能够生成语音、翻译视频以及执行智能语音转换。需要通过环境变量 ALLVOICELAB_API_KEY 配置来自 AllVoiceLab 的 API 密钥。可选配置 ALLVOICELAB_API_DOMAIN 以使用区域特定的 API 端点。

Design & creativestdioCommunity

Repository-wide counts · Cached 2026-03-07

Overview

The AllVoiceLab MCP 服务器 MCP server is a publicly available project. Review the upstream repository for installation instructions, supported tools, compatibility, permissions, and current maintenance status.

Configuration

Configuration, transport, authentication, and runtime requirements vary by project. Open the repository before connecting and use the smallest set of credentials and permissions required.

Open the AllVoiceLab MCP 服务器 repository to read the latest documentation.

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Compare source, connection, and authentication details before choosing an implementation.

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FROM THE SOURCE

Repository README

Build-time snapshot · Retrieved 2026-10-05

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Official AllVoiceLab Model Context Protocol (MCP) server, supporting interaction with powerful text-to-speech and video translation APIs. Enables MCP clients like Claude Desktop, Cursor, Windsurf, OpenAI Agents to generate speech, translate videos, and perform intelligent voice conversion. Serves scenarios such as short drama localization for global markets, AI-Generated audiobooks, AI-Powered production of film/TV narration.

Why Choose AllVoiceLab MCP Server?

  • Multi-engine technology unlocks infinite possibilities for voice: With simple text input, you can access video generation, speech synthesis, voice cloning, and more.

  • AI Voice Generator (TTS): Natural voice generation in 30+ languages with ultra-high realism

  • Voice Changer: Real-time voice conversion, ideal for gaming, live streaming, and privacy protection

  • Multilingual Dubbing: One-click translation and dubbing for short videos/films, preserving emotional tone and rhythm

  • Speech-to-Text (STT): AI-powered multilingual subtitle generation with over 98% accuracy

  • Subtitle Removal: Seamless hard subtitle erasure, even on complex backgrounds

  • Voice Cloning: 3-Second Ultra-Fast Cloning with Human-like Voice Synthesis

Documentation

中文文档

Quickstart

  1. Get your API key from AllVoiceLab.
  2. Install uv (Python package manager), install with curl -LsSf https://astral.sh/uv/install.sh | sh
  3. Important: The server addresses of APIs in different regions need to match the keys of the corresponding regions, otherwise there will be an error that the tool is unavailable.
Region Global Mainland
ALLVOICELAB_API_KEY go get from AllVoiceLab go get from AllVoiceLab
ALLVOICELAB_API_DOMAIN https://api.allvoicelab.com https://api.allvoicelab.cn

Claude Desktop

Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json to include the following:

{
  "mcpServers": {
    "AllVoiceLab": {
      "command": "uvx",
      "args": ["allvoicelab-mcp"],
      "env": {
        "ALLVOICELAB_API_KEY": "<insert-your-api-key-here>",
        "ALLVOICELAB_API_DOMAIN": "<insert-api-domain-here>",
        "ALLVOICELAB_BASE_PATH":"optional, default is user home directory.This is uesd to store the output files."
      }
    }
  }
}

If you're using Windows, you will have to enable "Developer Mode" in Claude Desktop to use the MCP server. Click "Help" in the hamburger menu in the top left and select "Enable Developer Mode".

Cursor

Go to Cursor -> Preferences -> Cursor Settings -> MCP -> Add new global MCP Server to add above config.

That's it. Your MCP client can now interact with AllVoiceLab.

Available methods

Methods Brief description
text_to_speech Convert text to speech
speech_to_speech Convert audio to another voice while preserving the speech content
clone_voice Create a custom voice profile by cloning from an audio sample
remove_subtitle Remove hardcoded subtitles from a video using OCR
video_translation_dubbing Translate and dub video speech into different languages ​​
text_translation Translate a text file into another language
subtitle_extraction Extract subtitles from a video using OCR

Example usage

⚠️ Warning: AllVoiceLab credits are needed to use these tools.

1. Text to Speech

Try asking: Convert "At All Voice Lab, we’re reshaping the future of audio workflows with AI-powered solutions, making authentic voices accessible to creators everywhere." into voice.

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2. Voice Conversion

After generating the audio from the previous example, select the audio file and ask: Convert this to a male voice.

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3. Voice Cloning

Select an audio file with a single voice and ask: Clone this voice.

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4. Video Translation

Select a video file (English) and ask: Translate this video to japanese.

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Original video:

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After translation:

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5. Remove Subtitles

Select a video with subtitles and ask: Remove the subtitles from this video.

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Original video:

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After the task is completed:

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6. Text Translation

Select a long text (for example, "The Foolish Old Man Removes the Mountains") and ask: Translate this text to japanese. If no language is specified, it will be translated to English by default.

image

7. Subtitle Extraction

Select a video with subtitles and ask: Extract the subtitles from this video.

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After the task is completed, you will get an SRT file as shown below:

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Troubleshooting

Logs can be found at:

  • Windows: C:\Users<Username>.mcp\allvoicelab_mcp.log
  • macOS: ~/.mcp/allvoicelab_mcp.log

Please contact us by email([email protected]) with log files