AllVoiceLab
Official AllVoiceLab Model Context Protocol (MCP) server, supporting interaction with powerful text-to-speech and video translation APIs.
What is AllVoiceLab?
AllVoiceLab is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to official allvoicelab model context protocol (mcp) server, supporting interaction with powerful text-to-speech and video translation apis.
Official AllVoiceLab Model Context Protocol (MCP) server, supporting interaction with powerful text-to-speech and video translation APIs.
This server falls under the Communication category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Official AllVoiceLab Model Context Protocol (MCP) server, su
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx all-voice-lab-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use AllVoiceLab
The AllVoiceLab MCP Server is the official Model Context Protocol integration for AllVoiceLab's AI voice and video platform, giving AI assistants direct access to text-to-speech synthesis, voice cloning, speech-to-speech conversion, and video translation/dubbing through a single interface. It supports over 30 languages and enables workflows such as generating narration from text, cloning a voice from a short audio sample, translating video speech to a new language, and extracting or removing subtitles — all without leaving your AI assistant. Developers building multilingual content pipelines, audiobook producers, and localization teams will find this server especially useful.
Prerequisites
- Python 3.10 or later and uv package manager installed
- An AllVoiceLab account and API key (obtain from the AllVoiceLab dashboard)
- The AllVoiceLab API domain for your region (provided in your account settings)
- An MCP client such as Claude Desktop
Obtain your AllVoiceLab API key and domain
Log in to your AllVoiceLab account and navigate to the API settings section. Copy your API key and note the API domain for your region — these values are required as environment variables.
Install the server with uvx
AllVoiceLab MCP is distributed as a Python package runnable with uvx. Install and run it directly without cloning the repository.
uvx allvoicelab-mcpConfigure your MCP client
Add the AllVoiceLab server to your Claude Desktop config at ~/Library/Application Support/Claude/claude_desktop_config.json. Provide your API key and domain in the env block.
{
"mcpServers": {
"allvoicelab": {
"command": "uvx",
"args": ["allvoicelab-mcp"],
"env": {
"ALLVOICELAB_API_KEY": "your_api_key_here",
"ALLVOICELAB_API_DOMAIN": "https://api.allvoicelab.com",
"ALLVOICELAB_BASE_PATH": "/tmp/allvoicelab"
}
}
}
}Restart your MCP client
Fully quit and reopen Claude Desktop so the new server configuration is loaded. The AllVoiceLab tools will appear in your connected tools list.
Test with a text-to-speech request
Ask your AI assistant to convert a short text passage to speech. The output audio file will be saved to the path configured in ALLVOICELAB_BASE_PATH.
AllVoiceLab Examples
Client configuration
Add this block to claude_desktop_config.json to enable the AllVoiceLab MCP server. ALLVOICELAB_BASE_PATH is optional and defaults to your home directory.
{
"mcpServers": {
"allvoicelab": {
"command": "uvx",
"args": ["allvoicelab-mcp"],
"env": {
"ALLVOICELAB_API_KEY": "your_api_key_here",
"ALLVOICELAB_API_DOMAIN": "https://api.allvoicelab.com",
"ALLVOICELAB_BASE_PATH": "/tmp/allvoicelab"
}
}
}
}Prompts to try
These prompts exercise the seven tools: text_to_speech, speech_to_speech, clone_voice, video_translation_dubbing, remove_subtitle, text_translation, and subtitle_extraction.
- "Convert the following paragraph to speech in a female English voice: <text>"
- "Clone this voice from the audio file at /path/to/sample.mp3 and name it my_voice"
- "Translate the video at /path/to/video.mp4 to Japanese and dub it"
- "Remove the hardcoded subtitles from /path/to/video.mp4"
- "Extract the subtitles from this video as an SRT file"Troubleshooting AllVoiceLab
API authentication error on first request
Ensure ALLVOICELAB_API_KEY is correctly set in the env block and matches the key shown in your AllVoiceLab dashboard. Also confirm ALLVOICELAB_API_DOMAIN uses the correct regional endpoint for your account.
uvx command not found
Install uv first by running: curl -LsSf https://astral.sh/uv/install.sh | sh — then restart your terminal. Verify with: uvx --version.
Output audio or video files are not saved
Check that the directory specified in ALLVOICELAB_BASE_PATH exists and is writable. Create it manually if needed: mkdir -p /tmp/allvoicelab.
Frequently Asked Questions about AllVoiceLab
What is AllVoiceLab?
AllVoiceLab is a Model Context Protocol (MCP) server that official allvoicelab model context protocol (mcp) server, supporting interaction with powerful text-to-speech and video translation apis. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install AllVoiceLab?
Follow the installation instructions on the AllVoiceLab GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with AllVoiceLab?
AllVoiceLab works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is AllVoiceLab free to use?
Yes, AllVoiceLab is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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