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Macwhisper MCP Server

作者:docdyhr版本 1.2.1i★ –i在你的电脑上运行
注册名称io.github.docdyhr/macwhisper-mcp-server

安装

概览

作者提供的说明(英文原文)

MacWhisper transcription for Claude Desktop. Fully local, no cloud, audio stays on your Mac.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 设计、图片与音频
  • 你需要填写:MACWHISPER_ALLOWED_PATHS

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: MACWHISPER_ALLOWED_PATHS, MACWHISPER_CLI, MACWHISPER_LOG_PATH

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "macwhisper": {
      "command": "uvx",
      "args": [
        "macwhisper-mcp-server"
      ],
      "env": {
        "MACWHISPER_ALLOWED_PATHS": "your-value",
        "MACWHISPER_CLI": "your-value",
        "MACWHISPER_LOG_PATH": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add macwhisper --env MACWHISPER_ALLOWED_PATHS=your-value --env MACWHISPER_CLI=your-value --env MACWHISPER_LOG_PATH=your-value -- uvx macwhisper-mcp-server

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "macwhisper": {
      "command": "uvx",
      "args": [
        "macwhisper-mcp-server"
      ],
      "env": {
        "MACWHISPER_ALLOWED_PATHS": "your-value",
        "MACWHISPER_CLI": "your-value",
        "MACWHISPER_LOG_PATH": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "macwhisper": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "macwhisper-mcp-server"
      ],
      "env": {
        "MACWHISPER_ALLOWED_PATHS": "your-value",
        "MACWHISPER_CLI": "your-value",
        "MACWHISPER_LOG_PATH": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • MACWHISPER_ALLOWED_PATHS 必填 env
    Colon-separated list of directories the server may read audio files from (e.g. ~/Desktop:~/Downloads)
  • MACWHISPER_CLI env
    Path to the mw binary. Auto-detected from /Applications/MacWhisper.app if omitted.
  • MACWHISPER_LOG_PATH env
    Log file path. Defaults to ~/Library/Logs/macwhisper-mcp.log

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 docdyhr 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“设计、图片与音频”中的其他服务器比较i

  • 星标数多于此分类中其他 2754 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2754 个服务器的 56% 更新
  • 基础检查结果等于或优于此分类中其他 2754 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Macwhisper MCP Server 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:MACWHISPER_ALLOWED_PATHS

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.2.1)于23天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

作者:GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

在你的电脑上运行★ 16,165MIT5个月前更新
安装

Claude Real Video

作者:HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新
安装

Figma MCP Server

作者:figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

macwhisper-mcp-server

Local MCP server that connects MacWhisper to Claude Desktop.

What it does: Drop an audio file on your Desktop, then ask Claude to transcribe it, summarise it, or pull out action items — in one step. MacWhisper does the transcription on your Mac; Claude does the thinking. Nothing leaves your machine. No cloud APIs. No data ever leaves your Mac.

Audio file  →  MacWhisper CLI  →  MCP server  →  Claude Desktop


Requirements

  • macOS (MacWhisper is macOS-only)
  • MacWhisper — installed and licensed
  • MacWhisper CLI enabled: open MacWhisper → Settings → Advanced → Command-Line Tool → Install. This places mw at /usr/local/bin/mw.
  • Python 3.13.x via pyenv
  • Claude Desktop

Installing MacWhisper via Homebrew:

brew install --cask macwhisper

After installation, enable the CLI in MacWhisper Settings as above. When you later run brew upgrade --cask macwhisper, the CLI symlink updates automatically — no re-install needed.


Install

Option A — Homebrew (recommended)
brew tap docdyhr/tap

brew install docdyhr/tap/macwhisper-mcp-server

This installs the macwhisper-mcp binary into your Homebrew prefix. Upgrade later with brew upgrade docdyhr/tap/macwhisper-mcp-server.

Option B — pip / source
pip install macwhisper-mcp-server

Or from source:

git clone https://github.com/docdyhr/macwhisper-mcp-server.git

cd macwhisper-mcp-server

pyenv install 3.13.13 # skip if already installed pyenv local 3.13.13 python -m venv .venv source .venv/bin/activate pip install -e .

Verify the MacWhisper CLI is reachable:

mw version

Configure Claude Desktop

Edit ~/Library/Application Support/Claude/claude_desktop_config.json and add:

{

"mcpServers": { "macwhisper": { "command": "macwhisper-mcp", "args": [], "env": { "MACWHISPER_ALLOWED_PATHS": "~/Desktop:~/Downloads", "FASTMCP_CHECK_FOR_UPDATES": "off" } } } }

Restart Claude Desktop.

Note: Audio files must be saved to your Mac's filesystem (Desktop, Downloads, or another allow-listed folder) before asking Claude to transcribe them. Files uploaded directly to the Claude chat window live in Claude's container and are not accessible to the local MacWhisper CLI.

Verify it works

In Claude Desktop, ask:

Transcribe ~/Desktop/memo.m4a

You should see a transcribe_audio tool call appear, followed by the transcript.


Available tools

ToolDescription
transcribe_audio(path, model?, language?, persist?, engine?)Transcribe an audio file and return the transcript as plain text. language is an ISO 639-1 code (e.g. da) or auto; overrides any per-directory default. persist=true saves to MacWhisper history (MacWhisper engine only). engine is "macwhisper" (default) or "whisper-cpp" — see Alternative engine below.
list_models()List transcription models installed in MacWhisper, plus whisper-cpp models if MACWHISPER_WHISPERCPP_MODEL_DIR is configured; active MacWhisper model is marked
cancel_transcription()Cancel the currently running transcription
list_allowed_paths()Return the directories the server is allowed to read from
start_watch(folder)Watch a folder and auto-transcribe new audio files into ../done/
stop_watch()Stop the active folder watcher
get_watch_results()Return completed watch-folder transcriptions and clear the queue

Supported audio formats: .m4a .mp3 .mp4 .mov .wav .aiff .flac


Configuration

All configuration is via environment variables. Pass them through the env dict in claude_desktop_config.json (for Claude Desktop) or set them in .env for local development.

Env varDefaultDescription
MACWHISPER_ALLOWED_PATHS~/DesktopColon-separated list of directories the server may read from
MACWHISPER_CLIauto-detectedPath to the mw binary. Defaults to /Applications/MacWhisper.app/Contents/MacOS/mw if that file exists, otherwise mw on PATH
MACWHISPER_LOG_PATH~/Library/Logs/macwhisper-mcp.logLog file path (never stdout — that's reserved for MCP)
MACWHISPER_LANGUAGE_DEFAULTSnoneColon-separated dir=lang pairs (ISO 639-1, or auto) — files in a matching directory get --language automatically. Most specific directory wins; an explicit language argument always overrides.
MACWHISPER_WHISPERCPP_BINARYwhisper-cli on PATHPath to the whisper-cli binary, if not on PATH. Only used when engine="whisper-cpp".
MACWHISPER_WHISPERCPP_MODEL_DIRnoneDirectory containing your GGML .bin model files. Required to use engine="whisper-cpp" at all — see below.

Local development: copy .env.example to .env and adjust. With direnv, .envrc exports .env automatically. Without direnv: source .env.

Per-directory language defaults

If you regularly transcribe recordings in a specific language, map a subfolder to it instead of passing language on every call:

"MACWHISPER_LANGUAGE_DEFAULTS": "~/Desktop/DK=da:~/Desktop/DE=de"

Drop a file in ~/Desktop/DK/ and transcribe_audio passes --language da automatically. An explicit language argument on the tool call always wins over the directory default.

Alternative engine: whisper.cpp

transcribe_audio(..., engine="whisper-cpp") transcribes using a standalone whisper.cpp binary instead of MacWhisper — useful if you don't have a MacWhisper license, or want a fully open-source local path. It does not touch MacWhisper in any way.

Setup:

brew install whisper-cpp

Homebrew installs the whisper-cli binary only — no models. Download a GGML model yourself (this server never downloads anything over the network) from huggingface.co/ggerganov/whisper.cpp, e.g. ggml-base.en.bin, into a directory of your choice, then point the server at it:

"MACWHISPER_WHISPERCPP_MODEL_DIR": "~/whisper-models"

Then call the tool with the model's filename (not a MacWhisper engine:model-id string):

Transcribe ~/Desktop/memo.wav using the whisper-cpp engine with model ggml-base.en.bin

Limitations (v1):

  • Input formats: .wav, .mp3, .flac only — not .m4a/.mp4/.mov/.aiff. This is whisper.cpp's own native format support; convert other formats first (e.g. with ffmpeg) or use the default MacWhisper engine, which handles all supported formats.
  • persist=true is not supported — whisper.cpp has no history mechanism.
  • Default language is English (en) if neither language nor a directory default is set — unlike MacWhisper, which defers to the app's own language selection.

Development

source .venv/bin/activate

pip install -e ".[dev]"

Tests

pytest -q

Lint + format

ruff check . ruff format .

Pre-commit hooks (one-time setup)

pip install pre-commit pre-commit install

Smoke-test against a real audio file (server must not be running in Claude Desktop)

python scripts/smoke_test.py ~/Downloads/Test.m4a

Logs
tail -f ~/Library/Logs/macwhisper-mcp.log

Security

  • All file paths are resolved (symlinks followed) and checked against the MACWHISPER_ALLOWED_PATHS allow-list before anything reaches the CLI.
  • subprocess.run is always called with an argv list — never shell=True.
  • No network calls. Ever.

See PRD §7 for the full threat model.


Known limitations

  • Uploaded files: Files dragged into the Claude chat window live in Claude's container and are not accessible to the local MacWhisper CLI. Save the file to your Desktop or Downloads folder (or another allow-listed directory), then ask Claude to transcribe it from there.
  • Danish letter names: Whisper may phonetically approximate letter names (e.g. "Æ, Ø, Å" → "E, Y, U") when they are spoken in isolation. Letters *inside words* transcribe correctly. This is a Whisper engine limitation, not a bug in this wrapper. See PRD §12.
  • Cold-start latency: First transcription after MacWhisper launches takes ~13s (model load). Subsequent calls are ~2s.

License

MIT — see LICENSE.

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