Apple Voice Memo Mcp

io.github.jwulffPublished by GitHub account jwulffv0.1.1Updated Oct 24, 2026

Access Apple Voice Memos on macOS. List, get audio, extract and generate transcripts.

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Overview

AI-generated overview

A local macOS MCP server that lets an assistant browse Apple Voice Memos, fetch their audio, and read or generate transcripts.

What you can do
List and search voice memos with metadata such as title, date, duration and transcript availability, with paging and a title filter. Get detailed metadata for a single memo by ID. Retrieve a memo's audio as a file path or base64-encoded data. Extract stored transcripts as text, JSON or timestamped output. Generate a new transcript with Apple's SFSpeechRecognizer in a chosen language.
When to use it
Useful on a Mac when you want an assistant to find, summarize or work through your Voice Memos recordings, or to transcribe memos that have no stored transcript yet. It is a local, read-oriented companion for personal audio notes rather than a general audio tool.
Requirements
Runs locally on macOS Sonoma 14.0 or later (Sequoia recommended for transcription) with Node.js 18+, installed via npm or npx. The Voice Memos app must have been opened at least once. Full Disk Access must be granted to the terminal app or Claude Desktop to read the Voice Memos database; Speech Recognition permission is prompted when transcription is first used.
Before you install
Full Disk Access is a broad permission that lets the granted app read much of your disk, so grant it deliberately. The server reads your personal recordings and their metadata, and audio can be returned as base64 data to the assistant. Transcription sends audio to Apple's speech recognition service. No credentials or environment variables are declared.

Installation

In SourceWeft

  1. Open Apple Voice Memo Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

Apple Voice Memo MCP Server

An MCP (Model Context Protocol) server that provides programmatic access to Apple Voice Memos on macOS. Use this to let Claude and other AI assistants interact with your voice recordings.

Pairs well with whisper-mcp for local transcription.

Features

  • List voice memos - Browse all your voice memos with metadata
  • Get memo details - Retrieve detailed information about specific recordings
  • Get audio - Access the audio file path or base64-encoded audio data
  • Get transcripts - Extract transcripts from memos (stored by Apple in the audio file)
  • Transcribe memos - Generate transcripts using Apple's SFSpeechRecognizer

Requirements

  • macOS Sonoma (14.0) or later (Sequoia recommended for transcription)
  • Node.js 18+
  • Full Disk Access permission (for accessing Voice Memos data)
  • Voice Memos app must have been opened at least once

Installation

bash
npm install -g apple-voice-memo-mcp

Or use directly with npx:

bash
npx apple-voice-memo-mcp

Configuration

Claude Desktop

Add to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

json
{  "mcpServers": {    "apple-voice-memo-mcp": {      "command": "npx",      "args": ["-y", "apple-voice-memo-mcp"]    }  }}

After editing, restart Claude Desktop.

Claude Code (CLI)

For Claude Code, add to your project's .mcp.json file:

json
{  "mcpServers": {    "apple-voice-memo-mcp": {      "command": "npx",      "args": ["-y", "apple-voice-memo-mcp"]    }  }}

Or for user-wide configuration, add to ~/.claude/settings.json:

json
{  "mcpServers": {    "apple-voice-memo-mcp": {      "command": "npx",      "args": ["-y", "apple-voice-memo-mcp"]    }  }}

Tip: Use /mcp in Claude Code to verify the server is connected.

Local Development Setup

If running from source instead of npm:

json
{  "mcpServers": {    "apple-voice-memo-mcp": {      "command": "node",      "args": ["/path/to/apple-voice-memo-mcp/dist/index.js"]    }  }}

Permissions

  1. Full Disk Access: Required to read the Voice Memos database

    • Go to System Settings > Privacy & Security > Full Disk Access
    • Add your terminal app or Claude Desktop
  2. Speech Recognition (for transcription):

    • Required only if using the transcribe_memo tool
    • System will prompt when first used

MCP Tools

list_voice_memos

List all voice memos with metadata.

Parameters:

  • limit (optional): Maximum number of results (1-100, default: 50)
  • offset (optional): Pagination offset
  • search (optional): Search term to filter by title

Example response:

json
{  "memos": [    {      "id": 1,      "title": "Meeting Notes",      "date": "2025-01-07T10:30:00.000Z",      "duration": 120.5,      "hasTranscript": true    }  ],  "total": 15}

get_voice_memo

Get detailed metadata for a specific memo.

Parameters:

  • id (required): Memo ID

get_audio

Retrieve the audio file.

Parameters:

  • id (required): Memo ID
  • format (optional): "path" or "base64" (default: "path")

get_transcript

Extract transcript from a memo.

Parameters:

  • id (required): Memo ID
  • format (optional): "text", "json", or "timestamped"

transcribe_memo

Transcribe a memo using SFSpeechRecognizer.

Parameters:

  • id (required): Memo ID
  • language (optional): Language code (default: "en-US")

How It Works

Data Access

Voice Memos data is stored in:

  • Database: ~/Library/Group Containers/group.com.apple.VoiceMemos.shared/Recordings/CloudRecordings.db
  • Audio files: Same directory, .m4a format

Transcript Storage

Apple stores transcripts directly inside the .m4a audio files using a custom MPEG-4 atom called tsrp. This MCP server parses these atoms to extract transcripts - no separate transcript files exist.

Development

bash
# Clone the repositorygit clone https://github.com/jwulff/apple-voice-memo-mcp.gitcd apple-voice-memo-mcp
# Install dependenciesnpm install
# Buildnpm run build
# Run in developmentnpm run dev
# Test with MCP inspectornpm run inspector

Troubleshooting

"Voice Memos database not found"

  1. Ensure you've opened the Voice Memos app at least once
  2. Grant Full Disk Access to your terminal/application
  3. Check if iCloud sync is enabled for Voice Memos

"No transcript available"

  • On macOS Sequoia+, open the memo in Voice Memos app to trigger automatic transcription
  • Older macOS versions don't have automatic transcription
  • Use the transcribe_memo tool to generate a transcript via SFSpeechRecognizer

Native module binding errors

If you see errors about missing better_sqlite3.node bindings:

bash
npm rebuild better-sqlite3

This recompiles the native module for your current Node.js version.

License

MIT

Source: README.md at commit f34437f

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.1LatestSep 16, 2026

Score

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