Macwhisper MCP Server

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

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.

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.