Whisper Speech Recognition MCP Server

High-performance speech recognition MCP server based on Faster Whisper, providing efficient audio transcription.

What is Fast-Whisper-MCP-Server?

Fast-Whisper-MCP-Server is a high-performance speech recognition server based on Faster Whisper, designed to provide efficient audio transcription.

How to use Fast-Whisper-MCP-Server?

To use the server, clone the repository, install the required dependencies, and start the server using the provided script. After that, you can configure it using a compatible application such as Claude Desktop.

What are the key features of Fast-Whisper-MCP-Server?

• Integration with Faster Whisper for efficient speech recognition
• Batch processing acceleration for faster transcription
• Automatically enable CUDA acceleration if available
• Support for multiple model sizes (from miniature to large - v3)
• Output formats include VTT subtitles, SRT and JSON.
• Model Instance Caching to Avoid Duplicate Loads
• Dynamically adjusts batch size based on GPU memory

What are the application scenarios of Fast-Whisper-MCP-Server?

1. Transcribe audio files for content creation
2. Real-time speech recognition in applications
3. Batch processing and analysis of multiple audio files

Fast-Whisper-MCP-Server FAQ?

• What are the system requirements?

Requires Python 3.10+, Faster Whisper, and PyTorch with CUDA support for optimal performance.

• Can it handle multiple audio files at the same time?

Yes! It supports batch transcription of audio files in folders.

• Is there a GUI?

It is currently command line based, but can be integrated into GUI applications like Claude Desktop.