Voice Recorder MCP Server

@DefiBax

Repository

Basic information

About Voice Recorder MCP Server

No overview available yet

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

Voice Recorder MCP Server config

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

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

Voice Recorder MCP Server tools

Start recording audio from the default microphone

Stop recording and transcribe the audio to text

Record audio for a specified duration and transcribe it

Overview

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

Frequently asked questions

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.

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.

What are the system requirements?

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

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.

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.

Comments

More Other MCP servers

Hindsight

vectorize-io

Hindsight: Agent Memory That Learns

50.4K

Yuppsy

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Volley.sh

Volley

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi

YOUB

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov