Apple Voice Memo MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_voice_memosA | List voice memos from Apple Voice Memos app with metadata. Returns memo IDs, titles, dates, durations, and whether they have transcripts. |
| get_voice_memoA | Get detailed metadata for a specific voice memo by its ID. Returns title, date, duration, and transcript availability. |
| get_audioA | Retrieve the audio file for a voice memo. Can return either the file path or base64-encoded audio data. |
| get_transcriptA | Extract and return the transcript from a voice memo. Transcripts are stored by Apple inside the audio file. Returns plain text, structured JSON, or timestamped segments. |
| transcribe_memoA | Transcribe a voice memo using Apple's SFSpeechRecognizer. This generates a transcript for memos that haven't been transcribed yet. Note: The transcript is returned but not saved to the original file. Requires Speech Recognition permission and downloaded language packs. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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.