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Whisper Speech Recognition MCP Server

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

Local serverstdioPython

What is the Whisper Speech Recognition MCP Server?

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

What you get

  1. Clone or download this repository 2. Create and activate a virtual environment (recommended) 3. Install dependencies:
  • Integrated with Faster Whisper for efficient speech recognition
  • Batch processing acceleration for improved transcription speed
  • Automatic CUDA acceleration (if available)
  • Support for multiple model sizes (tiny to large-v3)
  • Output formats include VTT subtitles, SRT, and JSON
  • Support for batch transcription of audio files in a folder

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the Whisper Speech Recognition MCP Server

{
  "mcpServers": {
    "fast-whisper": {
      "command": "uvx",
      "args": ["torch"]
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Example prompts to try

  • “Use Whisper Speech Recognition to Dependencies.”

Frequently asked questions

Python 3.10+, faster-whisper>=0.9.0, PyTorch and torchaudio (CUDA or CPU version), and mcp[cli]>=1.2.0.

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