
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.
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.
Installation
In SourceWeft
- Open Apple Voice Memo Mcp in the dashboard and add it to a workspace.
- 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
Or use directly with npx:
Configuration
Claude Desktop
Add to your Claude Desktop config file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
After editing, restart Claude Desktop.
Claude Code (CLI)
For Claude Code, add to your project's .mcp.json file:
Or for user-wide configuration, add to ~/.claude/settings.json:
Tip: Use /mcp in Claude Code to verify the server is connected.
Local Development Setup
If running from source instead of npm:
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:
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
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:
This recompiles the native module for your current Node.js version.
License
MIT
Source: README.md at commit f34437f
Tools
0Version history
1- v0.1.1LatestSep 16, 2026
Score
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- Reached in the last 30 days25 pts
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- Auth declared10 pts
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- Tools listed15 pts
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- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts