apple-voice-memo-mcp
Access Apple Voice Memos on macOS. List, get audio, extract and generate transcripts.
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"apple-voice-memo-mcp": {
"args": [
"apple-voice-memo-mcp@0.1.1"
],
"command": "npx"
}
}
}
可用工具 (5 个)
该服务在 MCP 协议中暴露的工具,AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数:query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数:urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数:url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数:url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数:input
服务介绍
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
npm install -g apple-voice-memo-mcp
Or use directly with npx:
npx apple-voice-memo-mcp
# Configuration
# # Claude Desktop
Add to your Claude Desktop config file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.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:
{
"mcpServers": {
"apple-voice-memo-mcp": {
"command": "npx",
"args": ["-y", "apple-voice-memo-mcp"]
}
}
}
Or for user-wide configuration, add to ~/.claude/settings.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:
{
"mcpServers": {
"apple-voice-memo-mcp": {
"command": "node",
"args": ["/path/to/apple-voice-memo-mcp/dist/index.js"]
}
}
}
# # Permissions
-
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
-
Speech Recognition (for transcription):
- Required only if using the
transcribe_memotool - System will prompt when first used
- Required only if using the
# 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 offsetsearch(optional): Search term to filter by title
Example response:
{
"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 IDformat(optional): "path" or "base64" (default: "path")
# # get_transcript
Extract transcript from a memo.
Parameters:
id(required): Memo IDformat(optional): "text", "json", or "timestamped"
# # transcribe_memo
Transcribe a memo using SFSpeechRecognizer.
Parameters:
id(required): Memo IDlanguage(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,
.m4aformat
# # 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
# Clone the repository
git clone https://github.com/jwulff/apple-voice-memo-mcp.git
cd apple-voice-memo-mcp
# Install dependencies
npm install
# Build
npm run build
# Run in development
npm run dev
# Test with MCP inspector
npm run inspector
# Troubleshooting
# # "Voice Memos database not found"
- Ensure you've opened the Voice Memos app at least once
- Grant Full Disk Access to your terminal/application
- 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_memotool to generate a transcript via SFSpeechRecognizer
# # Native module binding errors
If you see errors about missing better_sqlite3.node bindings:
npm rebuild better-sqlite3
This recompiles the native module for your current Node.js version.
# License
MIT