MCP Server: Effortless, Seamless Audio-to-Text

Transform audio to text effortlessly with our MCP server powered by OpenAI’s Whisper API—fast, accurate, and built to fit your workflow seamlessly.

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✨ Research And Data

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This tool saved users approximately 11784 hours last month!

About MCP Server

What is MCP Server: Effortless, Seamless Audio-to-Text?

This MCP server acts as a bridge between audio files and text transcripts, powered by OpenAI’s advanced speech-to-text API. Whether you’re dealing with meeting recordings or customer calls, it turns spoken words into readable content with minimal setup.

How to use MCP Server: Effortless, Seamless Audio-to-Text?

Start by cloning the GitHub repo and installing dependencies. Configure your OpenAI API key and server path in environment variables. Once running, simply pass audio file paths to the built-in tool, and let the server handle the rest. No coding magic required—just straightforward commands.

MCP Server Features

Key Features of MCP Server: Effortless, Seamless Audio-to-Text?

Automatic transcription using OpenAI’s industry-leading models
Flexible options to save outputs directly to files or specify languages like English or Spanish
Customizable via environment variables for API endpoints and models
Plug-and-play integration into existing MCP server setups

Use cases of MCP Server: Effortless, Seamless Audio-to-Text?

Perfect for automating transcription workflows in:

Podcast editing teams needing quick drafts
Customer service teams analyzing call logs
Remote workers converting voice memos to notes
Researchers analyzing interviews or focus groups

MCP Server FAQ

FAQ from MCP Server: Effortless, Seamless Audio-to-Text?

Does it support multiple languages? Yep! Just specify ISO codes like "en" or "es".
How do I update the OpenAI model? Adjust the OPENAI_MODEL env variable—no code changes needed.
Can I save transcripts automatically? Use the "save_to_file" parameter to route outputs directly to disk.
What if my audio has background noise? The OpenAI API handles most real-world scenarios, but clean audio yields best results.

Content

OpenAI Speech-to-Text transcriptions MCP Server

A MCP server that provides audio transcription capabilities using OpenAI's API.

Installation

Setup

Clone the repository:

git clone https://github.com/Ichigo3766/audio-transcriber-mcp.git
cd audio-transcriber-mcp

Install dependencies:

npm install

Build the server:

npm run build

Set up your OpenAI API key in your environment variables.
Add the server configuration to your environment:

{
  "mcpServers": {
    "audio-transcriber": {
      "command": "node",
      "args": [
        "/path/to/audio-transcriber-mcp/build/index.js"
      ],
      "env": {
        "OPENAI_API_KEY": "",
        "OPENAI_BASE_URL": "", // Optional
        "OPENAI_MODEL": "" // Optional
      }
    }
  }
}

Replace /path/to/audio-transcriber-mcp with the actual path where you cloned the repository.

Features

Tools

transcribe_audio - Transcribe audio files using OpenAI's API
- Takes filepath as a required parameter
- Optional parameters:
  - save_to_file: Boolean to save transcription to a file
  - language: ISO-639-1 language code (e.g., "en", "es")