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Voice Recorder MCP Server

@DefiBax

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

DefiBax

关于 Voice Recorder MCP Server

暂无概览

#voice-recorder#audio-transcription#openai-whisper

Voice Recorder MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp_servers": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "voice-recorder-mcp"
      ]
    }
  }
}

Voice Recorder MCP Server 工具

3

Start recording audio from the default microphone

Stop recording and transcribe the audio to text

Record audio for a specified duration and transcribe it

概览

What is Voice Recorder MCP Server?

The Voice Recorder MCP Server records audio from a microphone and transcribes it using OpenAI's Whisper model. It works as a custom extension for the Goose AI agent or as a standalone MCP server.

How to use Voice Recorder MCP Server?

Install from source with git clone and pip install -e ., then run voice-recorder-mcp with optional --model and --sample-rate arguments. Configure via environment variables like WHISPER_MODEL, SAMPLE_RATE, and MAX_DURATION. Use the tools start_recording, stop_and_transcribe, and record_and_transcribe to manage recordings.

Key features of Voice Recorder MCP Server

  • Records audio from the default microphone
  • Transcribes recordings using OpenAI Whisper
  • Integrates with Goose AI agent as a custom extension
  • Supports multiple Whisper model sizes (tiny.en, base.en, small.en, medium.en, large)
  • Configurable sample rate and maximum recording duration
  • Includes prompts for common recording scenarios

Use cases of Voice Recorder MCP Server

  • Quickly record and transcribe voice notes or meeting snippets
  • Automate transcription tasks within a Goose AI agent workflow
  • Dictate commands or calculations and have the agent act on the transcription
  • Compare accuracy and speed across different Whisper models
  • Test microphone audio capture and transcription in a controlled environment

常见问题

1

What Whisper models can I use?

The server supports tiny.en, base.en, small.en, medium.en, and large. Models with a `.en` suffix are optimized for English, offering faster and more accurate transcription.

2

How do I integrate with Goose?

In Goose, go to Settings > Extensions > Add > Command Line Extension, set the name to `voice-recorder`, and provide the full path to the `voice-recorder-mcp` executable.

3

What are the system requirements?

Python 3.12 or later and an audio input device (microphone).

4

How can I adjust recording quality?

Set the sample rate via the `--sample-rate` command-line argument or the `SAMPLE_RATE` environment variable (default 16000). Use higher sample rates for better audio quality, though file sizes increase.

5

What if no audio is recorded?

Check your microphone permissions and settings. Also ensure the server has access to the audio device. If model download fails, verify your internet connection.

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