AllVoiceLab▌
by allvoicelab
AllVoiceLab offers advanced voice cloning and free audio processing software for text-to-speech, speech transformation,
Integrates with AllVoiceLab's API to provide advanced voice and audio processing capabilities including text-to-speech conversion, voice cloning, speech transformation, subtitle extraction, and multilingual video dubbing.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Content creators making voice-overs
- / Podcast producers needing voice effects
- / Video editors adding multilingual dubbing
- / Developers building voice-enabled applications
capabilities
- / Convert text to speech with multiple voice options
- / Clone voices from audio samples
- / Transform existing speech with different voices
- / Extract subtitles from audio files
- / Dub videos into multiple languages
what it does
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.
about
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.
how to install
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.
license
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.
readme

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>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
Quickstart
- Get your API key from AllVoiceLab.
- Install
uv(Python package manager), install withcurl -LsSf https://astral.sh/uv/install.sh | sh - 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.

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

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

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

Original video:

After translation:

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

Original video:

After the task is completed:

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.

7. Subtitle Extraction
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:

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
FAQ
- What is the AllVoiceLab MCP server?
- AllVoiceLab is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for AllVoiceLab?
- This profile displays 32 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.4★★★★★32 reviews- ★★★★★William Martinez· Dec 28, 2024
We evaluated AllVoiceLab against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Omar Anderson· Dec 24, 2024
AllVoiceLab has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Ganesh Mohane· Dec 8, 2024
AllVoiceLab reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Arya Jain· Dec 4, 2024
AllVoiceLab reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Sakshi Patil· Nov 27, 2024
I recommend AllVoiceLab for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Sophia Ndlovu· Nov 23, 2024
I recommend AllVoiceLab for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Omar Reddy· Nov 15, 2024
AllVoiceLab is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Mia Thompson· Nov 3, 2024
According to our notes, AllVoiceLab benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Anaya Thomas· Oct 22, 2024
AllVoiceLab has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Chaitanya Patil· Oct 18, 2024
Strong directory entry: AllVoiceLab surfaces stars and publisher context so we could sanity-check maintenance before adopting.
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