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Local MCP server exposing MacWhisper transcription to Claude Desktop.

Project description

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

CI


Claude Desktop transcribing an audio file


Requirements


Install

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:

/Applications/MacWhisper.app/Contents/MacOS/mw --help

If you get "command not found": open MacWhisper → Settings → enable CLI.


Configure Claude Desktop

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

{
  "mcpServers": {
    "macwhisper": {
      "command": "/Users/<you>/macwhisper-mcp-server/.venv/bin/macwhisper-mcp",
      "args": [],
      "env": {
        "MACWHISPER_ALLOWED_PATHS": "/Users/<you>/Desktop:/Users/<you>/Downloads"
      }
    }
  }
}

Replace <you> with your macOS username. Restart Claude Desktop.

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

Tool Description
transcribe_audio(path, model?) Transcribe an audio file and return the transcript as plain text
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 var Default Description
MACWHISPER_ALLOWED_PATHS ~/Desktop Colon-separated list of directories the server may read from
MACWHISPER_CLI auto-detected Path 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.log Log file path (never stdout — that's reserved for MCP)

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


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

  • 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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