freeaudiototext-mcp

100% Free AI audio and video transcription with speaker diarization and YouTube support.

Dokumentation

FreeAudioToText MCP Server

An official Model Context Protocol (MCP) server for FreeAudioToText.com, enabling Claude, Cursor, and Codex to instantly transcribe any audio/video file or YouTube/TikTok URL into text with speaker diarization.

Our core transcription service is 100% free with unlimited usage. It runs on high-performance local Apple Silicon M2 Max hardware via the Cloudflare Edge, providing ultra-fast inference with state-of-the-art accuracy across 90+ languages.

Important Links

Website: https://freeaudiototext.com
Speech-to-Text API Documentation: https://freeaudiototext.com/speech-to-text-api
Get API Key / Dashboard: No API key is required for basic MCP tool usage! Our core transcription is fully free.

Available Tools

This MCP server exposes the following tools to your AI assistant:

transcribe_audio: Uploads a local audio or video file (e.g., MP3, M4A, WAV, MP4) for transcription. Returns a unique job_id.
transcribe_from_url: Submits a YouTube or TikTok URL for extraction and transcription. Returns a job_id.
get_job_status: Checks if the submitted job_id is "pending" or "completed".
get_transcript: Retrieves the full generated transcript (with speaker labels like [SPK_0]) for a completed job.
generate_ai_report: Generates a deep LLM analysis report (Summary, Action Items, Outline, or Speaker Analysis) for your transcript.

Installation

For Claude Desktop

Add the following to your claude_desktop_config.json (located at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "freeaudiototext": {
      "command": "npx",
      "args": [
        "-y",
        "freeaudiototext-mcp"
      ]
    }
  }
}

For Cursor / Other Clients (via Smithery)

You can easily install this server using the Smithery CLI:

npx -y @smithery/cli install freeaudiototext-mcp --client cursor

Example Usage with Claude

Once installed, you can simply ask Claude:

"I have a meeting recording at /Users/myname/Downloads/meeting.m4a. Can you transcribe it and give me the action items?"

Claude will automatically:

Call transcribe_audio with your local file path.
Poll get_job_status until it finishes.
Call generate_ai_report with type action_items to give you the results!

License

MIT License. See LICENSE for more information.