Featured

Deploy OpenClaw in 60 seconds — 20% off logoDeploy OpenClaw in 60 seconds — 20% off

Launch OpenClaw on Hostinger in about 60 seconds and keep your agent live 24/7. Our referral link gives you 20% off, no coupon code needed.

Launch on Hostinger
Run your Hermes agent on Hostinger, fully managed logoRun your Hermes agent on Hostinger, fully managed

Launch Hermes on Hostinger in one click, fully managed, no VPS knowledge needed. Use code ZACAARON10 for 10% off.

Launch on Hostinger
Crawl and scrape any site into clean data, 10% off logoCrawl and scrape any site into clean data, 10% off

Firecrawl crawls and scrapes any site into clean markdown for your agent. Get 1,000 free credits, and new users get 10% off their first purchase.

Try Firecrawl free
Your own AI agent, running 24/7 with QwikClaw logoYour own AI agent, running 24/7 with QwikClaw

QwikClaw sets up and runs an always-on OpenClaw agent for you. One click, no config files, no server setup.

Deploy now
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you
SEO data APIs for your agent, $1 free credit logoSEO data APIs for your agent, $1 free credit

DataForSEO gives your agent live access to SERP results, keyword data, backlinks, and on-page SEO data through one API. New accounts get a $1 credit, good for up to 20,000 keyword or backlink lookups.

Try DataForSEO free
Reach 47,000+ AI builders

A flat monthly placement in front of developers actively installing AI tools. No lock-in, cancel anytime.

Advertise here

Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

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

README.md

<div align="right">

<a href="https://railway.com?referralCode=QhjuBc">

<img width="160" src="https://raw.githubusercontent.com/docdyhr/.github/main/assets/railway-corner-v2@2x.png" alt="Deploy on Railway — $20 free credits">

</a>

</div>

macwhisper-mcp-server

<!-- mcp-name: io.github.docdyhr/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](https://github.com/docdyhr/macwhisper-mcp-server/actions/workflows/ci.yml) ![CodeQL](https://github.com/docdyhr/macwhisper-mcp-server/actions/workflows/codeql.yml) ![PyPI version](https://pypi.org/project/macwhisper-mcp-server/) ![License: MIT](./LICENSE)

---

!Claude Desktop transcribing an audio file

---

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: ``bash 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

| Tool | Description | |------|-------------| | transcribe_audio(path, model?, persist?) | Transcribe an audio file and return the transcript as plain text. Pass persist=true to save to MacWhisper history. | | list_models() | List transcription models installed in MacWhisper; active 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 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

  • 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.

See related servers & alternatives →

Related MCP servers

Browse all →

Related guides

Hand-picked reading to help you choose and use Cloud & DevOps servers.