Apple Voice Memo MCP Server
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- AlicenseNot gradedqualityCmaintenanceEnables read-first interaction with Apple Voice Memos: search transcripts, review action candidates, mark reviewed, prepare tasks for Codex, and render digests.1Apache 2.0
- AlicenseAqualityBmaintenanceLets MCP clients such as Claude list, read, search and compare transcripts of Apple Voice Memos on macOS, keeping word-level confidence marks so uncertain words stay visibly flagged. Adds speaker separation, optional local voiceprint recognition, and independent second-reader comparisons that highlight where two engines disagreed.10MIT

digisensus-recorderofficial
AlicenseNot gradedqualityAmaintenanceLets AI agents search, read and export call recordings, transcripts and AI meeting notes from Digisensus Recorder, a free open-source call recorder for macOS, and start or stop recording. Runs locally on the Mac and talks to the app over a Unix socket.18GPL 3.0- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to read, create, update, and delete data in macOS apps (Reminders, Calendar, Notes, Mail, Messages, Contacts) via natural language, using EventKit, JXA, and SQLite backends.69 npm9MIT
- AlicenseAqualityDmaintenanceEnables AI assistants to manage Apple Reminders lists and reminders on macOS, including creating, updating, completing, and deleting reminders.7137 npm5MIT
- AlicenseNot gradedqualityBmaintenanceLets assistants manage private, locally transcribed meeting and interview recordings: start/stop sessions, list and search transcripts, retrieve paginated transcript text, add notes/tags, and export recordings.MIT
TDQS
Scored across 5 tools
Each tool has a clear, non-overlapping purpose: listing memos, getting metadata, retrieving audio, retrieving existing transcripts, and generating new transcripts. No ambiguity between tools.
All tool names follow a consistent verb_noun pattern with lowercase and underscores (e.g., get_audio, list_voice_memos). Easy to predict and understand.
With 5 tools covering listing, metadata retrieval, audio retrieval, transcript retrieval, and transcript generation, the set is well-scoped for the domain of voice memo management.
Covers essential read operations and transcript generation. One minor gap: the transcribe_memo tool does not save the generated transcript back to the file, but it is returned to the user.