Apple Voice Memo Mcp

io.github.jwulff由 GitHub 账号 jwulff 发布v0.1.1更新于 Oct 24, 2026

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

已验证STDIO仅桌面文件与存储媒体与设计

概览

AI 生成的概览

一个本地 macOS MCP 服务器,让助手浏览 Apple 语音备忘录、获取音频,并读取或生成转写文本。

可以做什么
列出并搜索语音备忘录,返回标题、日期、时长和是否有转写等元数据,支持分页和按标题过滤。按 ID 获取单条备忘录的详细元数据。以文件路径或 base64 编码数据的形式获取备忘录音频。将已存储的转写提取为纯文本、JSON 或带时间戳的格式。使用 Apple 的 SFSpeechRecognizer 按指定语言生成新的转写。
适用场景
适用于 Mac 上希望助手查找、总结或整理语音备忘录录音的场景,也适合为尚无转写的备忘录生成文本。它是面向个人语音笔记的本地、偏读取型工具,而非通用音频工具。
运行要求
在 macOS Sonoma 14.0 或更高版本(转写建议 Sequoia)本地运行,需要 Node.js 18+,通过 npm 或 npx 安装。语音备忘录应用必须至少打开过一次。需为终端应用或 Claude Desktop 授予完全磁盘访问权限以读取语音备忘录数据库;首次使用转写时会请求语音识别权限。
安装前请注意
完全磁盘访问权限范围很广,被授权的应用可读取磁盘上的大量内容,请谨慎授予。该服务器会读取你的个人录音及其元数据,音频可能以 base64 数据形式返回给助手。转写会将音频发送至 Apple 的语音识别服务。未声明任何凭据或环境变量。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Apple Voice Memo Mcp,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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

来源:README.md,提交 f34437f

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.1.1最新Sep 16, 2026

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