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io.github.docdyhr/macwhisper-mcp-server

PYPI · MACWHISPER-MCP-SERVER

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

+1 this week 77 Trust /100

Last scanned (3 hours ago)

Scores higher than 74% of PyPI servers

Category Design and Media

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security40
  • Malware scan not yet available for this package.Unverified
  • CVE check failed: a known medium-severity CVE affects fastmcp 4.1.0, a direct dependency. A fixed version is available. View diagnostics → Fail
  • Runs setuptools.build_meta at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
  • 1 of 15 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency97
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to docdyhr/macwhisper-mcp-server). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 20 days ago).Pass
  • Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability75
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 878 tokens (~125/item across 7 items; 7 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 7 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 7 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Nov 26 −15
    • Malware scan: pass → unverified ▼ security
  • 31 Oct 26 +16
    • Malware scan: unverified → pass ▲ security
    • Stability: 0.97 → pass security
  • 29 Oct 26 −16
    • Malware scan: pass → unverified ▼ security
    • Stability: pass → 0.93 functional
  • 24 Oct 26 −3
    • GHSA-vqqp-x5qm-5qp4 affects this package: medium ▼ security
    • GHSA-7xgj-8392-5q4r affects this package: medium ▼ security
    • Known CVEs: pass → fail ▼ security
  • 23 Oct 26 +1
    • Stability: 0.97 → pass security
  • 22 Oct 26 +14
    • Malware scan: unverified → pass ▲ security
    • Stability: pass → 0.97 functional
  • 19 Oct 26 −15
    • Malware scan: pass → unverified ▼ security
  • 18 Oct 26 +15
    • Malware scan: unverified → pass ▲ security
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Analysed pypi/macwhisper-mcp-server@1.2.1

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem pypi
Reason Verified
Discovered via Registry attestation endpoint
Source repo docdyhr/macwhisper-mcp-server
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/docdyhr/macwhisper-mcp-server/.github/workflows/publish.yml@refs/tags/v1.2.1
Rekor log index 3266791601
Predicate type PyPI publish attestation https://docs.pypi.org/attestations/publish/v1
Subject digest sha256:9e91a7867aebc9a5c647d6ea989f17c520737c07b603479f7b9af87042c8771e

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted setuptools.build_meta

Background: Why install scripts are a supply-chain risk →

Vulnerabilities 2 findings
ID CVE Severity Vector Fix available
GHSA-7xgj-8392-5q4r medium CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:N yes
GHSA-vqqp-x5qm-5qp4 medium CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N yes

Background: What a vulnerability scan can and cannot prove →

Dependencies 15 packages
Packages resolved 15
Stale 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 7 exposed · ~878 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
cancel_transcription ~18

Cancel the currently running transcription, if any.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultstringyes–

No examples provided.

get_watch_results ~41

Return completed watch-folder transcriptions and clear the queue. Each entry contains: ``file``, ``transcript``, ``destination``, ``error``.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultarrayyes–

No examples provided.

list_allowed_paths ~21

Return the directories this server is allowed to read audio from.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultarrayyes–

No examples provided.

list_models ~155

Return the transcription models available across all engines. MacWhisper entries are formatted as ``engine:model-id — Display Name [active]`` where ``[active]`` marks the model currently selected in MacWhisper; pass the ``engine:model-id`` string as ``model`` with the default ``engine="macwhisper"``. whisper-cpp entries (if ``MACWHISPER_WHISPERCPP_MODEL_DIR`` is configured) are formatted as ``filename [whisper-cpp]``; pass the filename as ``model`` with ``engine="whisper-cpp"``. Requires the MacWhisper CLI to be reachable even if you only intend to use the whisper-cpp engine.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultarrayyes–

No examples provided.

start_watch ~129

Start watching a folder for new audio files to auto-transcribe. New audio files dropped into ``folder`` are transcribed automatically and moved to a "done" directory. By default this is ``<folder>/../done``; override it with the ``MACWHISPER_WATCH_DONE_DIR`` env var. Both the incoming folder and the done directory must be inside the configured allow-list, otherwise the call is rejected. Call ``get_watch_results()`` to retrieve completed transcriptions.

NameTypeReqDescription
folderstringyesAbsolute or ``~``-prefixed path to the incoming directory.
NameTypeReqDescription
resultstringyes–

No examples provided.

stop_watch ~14

Stop the active folder watcher.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultstringyes–

No examples provided.

transcribe_audio ~500

Transcribe a local audio file and return the transcript. IMPORTANT: ``path`` must be a file on the user's Mac filesystem inside the configured allow-list (typically ~/Desktop or ~/Downloads). Files uploaded to the Claude chat window are NOT accessible — ask the user to save the file to their Desktop or Downloads folder first. If this tool returns an access-denied error, do NOT attempt to transcribe the file by any other means (e.g. downloading a model, calling an external API, or using in-process speech recognition). Simply tell the user to save the file locally and retry with this tool.

NameTypeReqDescription
enginestring–"macwhisper" (default) — routes through the MacWhisper CLI, or "whisper-cpp" — an independent local backend that does not use MacWhisper at all. Requires whisper-cpp installed (`brew install whisper-…
language––Optional ISO 639-1 code (e.g. "da", "de") or "auto" to force the transcription language. If omitted, a per-directory default is used when the file's folder matches one configured in MACWHISPER_LANGUA…
model––Optional model override. For the default ``engine="macwhisper"``, an engine:model-id string, e.g. "whisperkit:openai_whisper-large-v3-v20240930" — use ``list_models()`` to see what is installed. For…
pathstringyesAbsolute or ``~``-prefixed path to an audio file on the local Mac filesystem inside the configured allow-list. Supported formats: m4a, mp3, mp4, mov, wav, aiff, flac (whisper-cpp engine only: wav, mp…
persistboolean–If True, save the transcription to MacWhisper's history. Defaults to False. Not supported by the whisper-cpp engine.
NameTypeReqDescription
resultstringyes–

No examples provided.

Install

How do I install the io.github.docdyhr/macwhisper-mcp-server server?

io.github.docdyhr/macwhisper-mcp-server runs locally as a PyPI package, launched with uvx macwhisper-mcp-server. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · macwhisper-mcp-server

# add to Claude Code
claude mcp add docdyhr-macwhisper-mcp-server -- uvx macwhisper-mcp-server
Common questions

What is the io.github.docdyhr/macwhisper-mcp-server server?

io.github.docdyhr/macwhisper-mcp-server is listed in the public MCP registry as io.github.docdyhr/macwhisper-mcp-server. MacWhisper transcription for Claude Desktop. Fully local, no cloud, audio stays on your Mac. This page covers its PyPI package (macwhisper-mcp-server).

Is the io.github.docdyhr/macwhisper-mcp-server server safe to use?

io.github.docdyhr/macwhisper-mcp-server scores 77 out of 100 on VerifyMCP. We recorded 2 known advisories against it as of 5 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.docdyhr/macwhisper-mcp-server server expose?

io.github.docdyhr/macwhisper-mcp-server exposes 7 tools: transcribe_audio, cancel_transcription, list_models, list_allowed_paths, start_watch, and 2 more. Their descriptions and schemas cost roughly 878 tokens of context every time the server is loaded.

Is the io.github.docdyhr/macwhisper-mcp-server server still maintained?

io.github.docdyhr/macwhisper-mcp-server is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.docdyhr/macwhisper-mcp-server server under?

io.github.docdyhr/macwhisper-mcp-server declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.