by allvoicelab
AllVoiceLab offers advanced voice cloning and free audio processing software for text-to-speech, speech transformation,
Connects to AllVoiceLab's API for text-to-speech synthesis, voice cloning, speech transformation, and automated video dubbing. Provides AI-powered voice and audio processing capabilities directly through MCP.
AllVoiceLab is an official MCP server published by allvoicelab that provides AI assistants with tools and capabilities via the Model Context Protocol. AllVoiceLab offers advanced voice cloning and free audio processing software for text-to-speech, speech transformation, It is categorized under other, ai ml.
You can install AllVoiceLab in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
AllVoiceLab is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
We evaluated AllVoiceLab against two servers with overlapping tools; this profile had the clearer scope statement.
AllVoiceLab has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
AllVoiceLab reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
AllVoiceLab reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend AllVoiceLab for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend AllVoiceLab for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
AllVoiceLab is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
According to our notes, AllVoiceLab benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
AllVoiceLab has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: AllVoiceLab surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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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.
</p>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
uv (Python package manager), install with curl -LsSf https://astral.sh/uv/install.sh | sh| 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 |
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".
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.
| 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 |
⚠️ Warning: AllVoiceLab credits are needed to use these tools.
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.
After generating the audio from the previous example, select the audio file and ask: Convert this to a male voice.
Select an audio file with a single voice and ask: Clone this voice.
Select a video file (English) and ask: Translate this video to japanese.
Original video:
After translation:
Select a video with subtitles and ask: Remove the subtitles from this video.
Original video:
After the task is completed:
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.
Select a video with subtitles and ask: Extract the subtitles from this video.
After the task is completed, you will get an SRT file as shown below:
Logs can be found at:
Please contact us by email([email protected]) with log files
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.