MCP.so
Sign In

MLX Whisper MCP Server

@kachiO

Basic information

Category

Other

License

Apache-2.0

Transports

stdio

Author

kachiO

About MLX Whisper MCP Server

Local MCP server for MLX Whisper transcription

MLX Whisper MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mlx-whisper-mcp": {
      "command": "uv",
      "args": [
        "run",
        "mlx_whisper_mcp.py"
      ]
    }
  }
}

MLX Whisper MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MLX Whisper MCP Server?

A Model Context Protocol server that provides audio transcription capabilities using MLX Whisper on Apple Silicon Macs. It can transcribe audio files, base64-encoded audio data, and YouTube videos.

How to use MLX Whisper MCP Server?

Run directly with uv run mlx_whisper_mcp.py. For Claude Desktop, use uv tool run fastmcp install mlx_whisper_mcp.py or manually configure the server in the Claude Desktop config JSON with the uv command and the script's working directory.

Key features of MLX Whisper MCP Server

  • Transcribes audio files directly from disk
  • Transcribes audio from base64-encoded data
  • Downloads and transcribes YouTube videos
  • Uses the high-quality mlx-community/whisper-large-v3-turbo model
  • Self-contained script with automatic dependency management via uv run
  • Saves transcription text files alongside audio files

Use cases of MLX Whisper MCP Server

  • Transcribe a local audio recording for note-taking
  • Translate a foreign-language audio file to English
  • Get a transcript of a YouTube video’s speech
  • Process audio clips sent as base64 data from other apps

Frequently asked questions

1

What hardware does it require?

An Apple Silicon Mac (M-series) running Python 3.12 or higher, with `uv` installed.

2

How do I install dependencies?

Dependencies are handled automatically by `uv run` when starting the server. The Whisper model (≈1.6 GB) is downloaded on first run.

3

Where are downloaded YouTube videos stored?

They are saved to `~/.mlx-whisper-mcp/downloads` unless the `keep_file` option is set to `True`.

4

Can I transcribe very long audio files?

The large model may cause memory pressure on very long audio files.

5

How does authentication work for YouTube downloads?

Some videos may be restricted or require authentication, which is not supported by the server.

Comments

More Other MCP servers