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Voice Processing · Education & Learning

MCP Server Whisper logo

MCP Server Whisper

arcaputo3/mcp-server-whisper

MCP Server Whisper provides a standardized way to process audio files through OpenAI's latest transcription and speech services. By implementing the Model Context Protocol, it enables AI assistants like Claude to seamlessly interact with audio processing capabilities.

View on GitHub

Install

uvx mcp-server-whisper

Client configuration

{
  "mcpServers": {
    "whisper": {
      "command": "uvx",
      "args": [
        "mcp-server-whisper"
      ],
      "env": {
        "OPENAI_API_KEY": "<OPENAI_API_KEY>",
        "AUDIO_FILES_PATH": "<AUDIO_FILES_PATH>"
      }
    }
  }
}

Environment variables

OPENAI_API_KEYAUDIO_FILES_PATH
Author
@arcaputo3
Category
Voice Processing, Education & Learning
License
MIT
Updated
Oct 6, 2026

About MCP Server Whisper

A Model Context Protocol (MCP) server for advanced audio transcription and processing using OpenAI's Whisper and GPT-4o models.

Tools (8)

  • list_audio_files

    Lists audio files with comprehensive filtering and sorting options:

  • get_latest_audio

    Gets the most recently modified audio file with model support info

  • convert_audio

    Converts audio files to supported formats (mp3 or wav)

  • compress_audio

    Compresses audio files that exceed size limits

  • transcribe_audio

    Advanced transcription using OpenAI's models:

  • chat_with_audio

    Interactive audio analysis using GPT-4o audio models:

  • transcribe_with_enhancement

    Enhanced transcription with specialized templates:

  • Text-to-Speech

Details on this page are taken from the project's README. Open README

Supported clients

Clients mentioned in this server's README:

View all
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