voicememos-mcp
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Alternatives to voicememos-mcp
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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
- AlicenseNot gradedqualityAmaintenanceExposes local, fully offline transcription with speaker diarization, voice-based speaker relabeling, environment diagnostics, and read-only workspace search as MCP tools for clients such as Claude Code and Claude Desktop. All audio, text, and voice embeddings stay on the user's Apple Silicon Mac, with no accounts, API keys, or cloud calls.2,051 PyPI9MIT
- AlicenseAqualityAmaintenanceEnables Claude to capture both sides of macOS calls and meetings from apps like WhatsApp, Teams, Zoom, and browsers as aligned microphone and system-audio tracks, then transcribe them locally with Whisper. Supports speaker separation, custom vocabulary, and importing existing audio or video files, with everything processed on-device so no audio leaves the Mac.10MIT
- AlicenseNot gradedqualityBmaintenanceEnables local voice cloning and multi-take text-to-speech synthesis on Apple Silicon, plus audio/video transcription and subtitle generation, through Claude and other MCP clients.2MIT
- AlicenseAqualityBmaintenanceProvides programmatic access to Apple Voice Memos on macOS, enabling AI assistants to list, retrieve details, get audio, and transcribe recordings.583 npm8MIT
- AlicenseNot gradedqualityBmaintenancePersistent, searchable archive and memory for Claude and ChatGPT. Native macOS MCP server, install from the App Store, no setup. Private, local and open source.2MIT
TDQS
Scored across 10 tools
Most tools have clearly distinct purposes: listing, reading, searching, marker extraction, transcription, job status, comparison, and voiceprint operations are separated by resource and action. The only mild ambiguity is between voicememos_status and voicememos_transcribe_status, though the descriptions make library status vs. job progress clear.
All tools use the same voicememos_ prefix and snake_case style, making the set predictable to scan. There is minor variation between verb-like names (list, read, search, transcribe) and noun-like names (status, markers, voiceprint), but the convention remains readable and consistent overall.
Ten tools is a well-scoped size for a domain covering memo retrieval, transcription workflows, search, markers, second-reader comparison, and voiceprint handling. Each tool earns its place without obvious redundancy or bloat.
The tool surface covers the core lifecycle well: listing and reading memos, searching, extracting markers, queuing transcription, checking job progress, running a second reading, comparing readers, and managing voiceprints. Minor gaps exist around memo management such as deleting, renaming, or exporting memos, but these are not central to the apparent transcription-analysis purpose.