Whispernotes

io.github.mazzzystar由 GitHub 帳號 mazzzystar 發布v0.2.0更新於 Oct 24, 2026

Search, read, and create speech-to-text transcripts on-device with the Whisper Notes Mac app.

概覽

AI 產生的概覽

讓助理搜尋、讀取並建立 Whisper Notes Mac 應用程式中的本機語音轉文字逐字稿。

可以做什麼
此伺服器提供工具,可列出最近的逐字稿、在逐字稿歷史中進行全文搜尋,並取得單一逐字稿的純文字、含時間戳或含講者標註的版本。它也能轉錄本機音訊或視訊檔案並將結果存入歷史記錄,並列出已安裝的轉錄模型。較長的錄音會分頁回傳,方便分段讀取。
適用情境
適合在 Mac 上用 Whisper Notes 保存會議、語音備忘或訪談錄音,並希望助理搜尋、摘要或擷取待辦事項的情境。也適合希望逐字稿留在本機、重視隱私的工作流程。
執行需求
需要 macOS 14 或以上版本的 Apple 晶片 Mac,以及 Whisper Notes for Mac 1.5.5 或以上版本的直接下載(DMG)版本;Mac App Store 版本不含 Local API。MCP 伺服器內建於應用程式中,無需 npm 或 pip 安裝。需在應用程式設定中開啟 Local CLI & MCP、安裝 CLI,並讓 MCP 用戶端透過 stdio 呼叫 whispernotes 命令並傳入 mcp 參數。
安裝前請注意
此伺服器會建立新的逐字稿並寫入本機歷史記錄,也會讀取逐字稿文字和你指定的本機音訊或視訊檔案。它透過權限為 0600 的本機 Unix 通訊端運作,未開啟前不提供任何服務,也沒有網路端點。MCP 用戶端會在每次工具呼叫前請求核准。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Whispernotes,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Whisper Notes MCP Server & CLI

MCP server and command-line access to Whisper Notes — on-device speech-to-text for Mac and iPhone. Claude and any MCP client can search your transcript history, read transcripts (plain, timestamped, or speaker-labeled), and transcribe audio or video files.

100% on-device. The server speaks over a local Unix socket (0600 permissions) — no open ports, no network interface, no cloud. Your audio and transcripts never leave your Mac.

The MCP server is built into the Whisper Notes Mac app — there is nothing to npx or pip install. This repository is its documentation and registry home. Canonical docs live at whispernotes.app/cli-mcp (agent-readable markdown: whispernotes.app/cli-mcp.md).

Set up

  1. Download Whisper Notes for Mac 1.5.5 or later — Direct Download (DMG) version (the Mac App Store build does not include the Local API). macOS 14+, Apple Silicon.
  2. Open the app → Settings → Integrations → toggle on Local CLI & MCP.
  3. Click Install CLI in the same section — this puts whispernotes (and the wn shorthand, when that name is free) in your terminal.

Connect Claude or any MCP client

Claude Code — one line:

bash
claude mcp add whispernotes -- whispernotes mcp

Claude Desktop — add this to ~/Library/Application Support/Claude/claude_desktop_config.json, then restart Claude Desktop:

json
{  "mcpServers": {    "whispernotes": {      "command": "/usr/local/bin/whispernotes",      "args": ["mcp"]    }  }}

Use the full path from which whispernotes — GUI apps don't read your shell's PATH. Any other local MCP client (Cursor, etc.) works the same way: command whispernotes, args ["mcp"]. Transport is stdio; there is no HTTP endpoint.

Then just ask:

  • "Read my last five transcripts and tell me what I should follow up on."
  • "Find the meeting where we discussed the invoice, and draft a reply email."
  • "Transcribe ~/Desktop/podcast.mp3 and pull out every action item."

MCP tools

ToolParametersReturns
list_transcriptslimit (default 20) · sourceRecent transcripts with ids, dates, titles
search_transcriptsquery (required) · limitFull-text matches with snippets
get_transcriptid (required) · timestamps · speakers · max_chars · offsetOne transcript's text
get_latest_transcripttimestamps · speakersYour most recent transcript
transcribe_filepath (required)Transcribes an audio or video file, saves it to history
list_models—Installed models and which one is active

Long recordings are paged: when a transcript exceeds max_chars, the response ends with an explicit truncation marker telling the agent which offset to continue from — hour-long meetings never overflow a context window.

CLI

The same binary is a full command-line tool:

bash
$ whispernotes statusWhisperNotes 1.5.5 (340) · SenseVoice Small · ready · 3081 notes
$ whispernotes list --limit 39f3c21a8  2026-08-01 09:14  0:42   meeting   Weekly sync — pricing reviewb2d84e07  2026-07-31 18:03  12:26  recorded  Idea dump on the walk home5a1f9c33  2026-07-30 10:52  47:10  imported  interview-with-anna.m4a
$ whispernotes show latest | ollama run llama3 "Summarize the key points:"
$ whispernotes export --format md --audio --output-dir ~/Transcripts✓ exported 312/312 transcript(s), 312 audio file(s) → /Users/you/Transcripts
CommandOptionsWhat it does
status—App version, active model, readiness, note count
list--limit N · --source T · --jsonRecent transcripts, newest first
search <query>--limit N · --jsonFull-text search across your history, with snippets
show [id or latest]--timestamps · --speakers · --max-chars N · --offset N · --jsonPrint one transcript (defaults to latest)
transcribe <file>--jsonTranscribe an audio or video file, save it to history
export--format txt or md · --output-dir DIR · --source T · --limit N · --audio · --speakersBatch-export transcripts, optionally copying the audio alongside
modelslist · select <id>List or switch models: parakeet, sensevoice, whisper-small, whisper-large-v3-turbo
languagelist · select <code>List or switch transcription language — choices follow the active model
mcp—Run the MCP server on stdio
version · help—CLI version · usage

Results go to stdout, progress and errors to stderr — safe to pipe or redirect. --json always emits a single JSON object or array. whispernotes help prints the full usage; a misused command replies with its exact usage line. wn is a convenience alias — scripts and agents should call whispernotes, which always exists.

Privacy & security

  • Transport is a Unix domain socket at ~/Library/Application Support/WhisperNotes/api.sock with 0600 permissions — only your macOS user account can connect. No TCP port, no network interface, unreachable from any other machine.
  • Off by default: nothing is served until you enable the toggle in Settings.
  • MCP clients like Claude ask for your approval before each tool call.
  • Transcription runs on-device (Parakeet V3, Whisper, SenseVoice on the Neural Engine / MLX); results are stored only in your local history.

Links

License

The contents of this repository (documentation and metadata) are MIT-licensed. Whisper Notes itself — the application, including the embedded MCP server and CLI — is commercial software; see whispernotes.app for terms.

來源:README.md,提交 fbac2d2

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版本歷史

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  1. v0.2.0最新Sep 16, 2026

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