OpenAI Speech-to-Text transcriptions MCP Server

Name: OpenAI Speech-to-Text transcriptions MCP Server
Author: Ichigo3766

@Ichigo3766

代码仓库

关于 OpenAI Speech-to-Text transcriptions MCP Server

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

基本信息

分类

媒体与设计

许可证

MIT

运行时

node

传输方式

stdio

发布者

Ichigo3766

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

Transcribe audio files using OpenAI's API

概览

What is OpenAI Speech-to-Text transcriptions MCP Server?

A Model Context Protocol server that provides audio transcription capabilities using OpenAI’s API. It is built for developers who want to integrate speech-to-text into MCP-compatible applications.

How to use OpenAI Speech-to-Text transcriptions MCP Server?

Clone the repository, run npm install and npm run build, then set your OPENAI_API_KEY environment variable. Add the server configuration to your MCP settings with the compiled index.js file. Use the transcribe_audio tool with a file path; optionally set save_to_file (Boolean) and language (ISO‑639‑1 code).

Key features of OpenAI Speech-to-Text transcriptions MCP Server

Transcribes audio files via OpenAI’s API
Optional language parameter (ISO‑639‑1 code)
Option to save transcription output to a file
Configurable OpenAI base URL and model
Open source under the MIT License

Use cases of OpenAI Speech-to-Text transcriptions MCP Server

Transcribing meeting recordings for searchable notes
Adding speech-to-text to AI assistants or chatbots
Processing user‑uploaded audio in MCP‑based apps
Converting voice memos to text with language selection

FAQ from OpenAI Speech-to-Text transcriptions MCP Server

What does the server do?

It provides a transcribe_audio tool that sends audio files to OpenAI’s speech‑to‑text endpoint and returns the transcription.

What are the requirements?

You need Node.js, npm, and an OpenAI API key. Optionally you can set a custom base URL and model.

How do I configure the server?

Add the server to your MCP configuration with the command: "node" and args pointing to the built index.js, and set OPENAI_API_KEY in the env object.