Next AI Draw.io
draw.io diagrams your AI agent draws on a live browser canvas that you can also edit by hand
Description from the maker (original English)
Search, read, and create speech-to-text transcripts on-device with the Whisper Notes Mac app.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
Passed 2/2 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Claude cannot connect Whispernotes yet
The maker has not listed install details in the MCP Registry yet
ChatGPT cannot connect Whispernotes yet
The maker has not listed install details in the MCP Registry yet
B · Others in Design, images & audio that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Claude Code cannot connect Whispernotes yet
The maker has not listed install details in the MCP Registry yet
Cursor cannot connect Whispernotes yet
The maker has not listed install details in the MCP Registry yet
VS Code cannot connect Whispernotes yet
The maker has not listed install details in the MCP Registry yet
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026
The registry name was verified with the GitHub account mazzzystar, which owns the repo
Code last changed 3 months ago
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
No posts yet. Be the first to ask or share.
Posts here are written by users, not the PopNx team.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 3 months ago, and the latest version (0.2.0) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.
In the same category: Next AI Draw.io, Pascal 3D Editor, screenpipe
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
draw.io diagrams your AI agent draws on a live browser canvas that you can also edit by hand
Create, inspect, validate, and save editable 3D building scenes with Pascal's MCP server.
Search your local screen recordings, audio transcripts, and computer activity from screenpipe.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
MCP server and command-line access to Whisper Notes — on-device speech-to-text for Mac and iPhone. Claude and any MCP client can search your transcript history, read transcripts (plain, timestamped, or speaker-labeled), and transcribe audio or video files.
100% on-device. The server speaks over a local Unix socket (0600 permissions) — no open ports, no network interface, no cloud. Your audio and transcripts never leave your Mac.
The MCP server is built into the Whisper Notes Mac app — there is nothing to
npxorpip install. This repository is its documentation and registry home. Canonical docs live at whispernotes.app/cli-mcp (agent-readable markdown: whispernotes.app/cli-mcp.md).
whispernotes (and the wn shorthand, when that name is free) in your terminal.Claude Code — one line:
claude mcp add whispernotes -- whispernotes mcp
Claude Desktop — add this to ~/Library/Application Support/Claude/claude_desktop_config.json, then restart Claude Desktop:
{
"mcpServers": { "whispernotes": { "command": "/usr/local/bin/whispernotes", "args": ["mcp"] } } }
Use the full path from which whispernotes — GUI apps don't read your shell's PATH. Any other local MCP client (Cursor, etc.) works the same way: command whispernotes, args ["mcp"]. Transport is stdio; there is no HTTP endpoint.
Then just ask:
| Tool | Parameters | Returns |
|---|---|---|
list_transcripts | limit (default 20) · source | Recent transcripts with ids, dates, titles |
search_transcripts | query (required) · limit | Full-text matches with snippets |
get_transcript | id (required) · timestamps · speakers · max_chars · offset | One transcript's text |
get_latest_transcript | timestamps · speakers | Your most recent transcript |
transcribe_file | path (required) | Transcribes an audio or video file, saves it to history |
list_models | — | Installed models and which one is active |
Long recordings are paged: when a transcript exceeds max_chars, the response ends with an explicit truncation marker telling the agent which offset to continue from — hour-long meetings never overflow a context window.
The same binary is a full command-line tool:
$ whispernotes status
WhisperNotes 1.5.5 (340) · SenseVoice Small · ready · 3081 notes
$ whispernotes list --limit 3 9f3c21a8 2026-08-01 09:14 0:42 meeting Weekly sync — pricing review b2d84e07 2026-07-31 18:03 12:26 recorded Idea dump on the walk home 5a1f9c33 2026-07-30 10:52 47:10 imported interview-with-anna.m4a
$ whispernotes show latest | ollama run llama3 "Summarize the key points:"
$ whispernotes export --format md --audio --output-dir ~/Transcripts ✓ exported 312/312 transcript(s), 312 audio file(s) → /Users/you/Transcripts
| Command | Options | What it does |
|---|---|---|
status | — | App version, active model, readiness, note count |
list | --limit N · --source T · --json | Recent transcripts, newest first |
search | --limit N · --json | Full-text search across your history, with snippets |
show [id or latest] | --timestamps · --speakers · --max-chars N · --offset N · --json | Print one transcript (defaults to latest) |
transcribe | --json | Transcribe an audio or video file, save it to history |
export | --format txt or md · --output-dir DIR · --source T · --limit N · --audio · --speakers | Batch-export transcripts, optionally copying the audio alongside |
models | list · select | List or switch models: parakeet, sensevoice, whisper-small, whisper-large-v3-turbo |
language | list · select | List or switch transcription language — choices follow the active model |
mcp | — | Run the MCP server on stdio |
version · help | — | CLI version · usage |
Results go to stdout, progress and errors to stderr — safe to pipe or redirect. --json always emits a single JSON object or array. whispernotes help prints the full usage; a misused command replies with its exact usage line. wn is a convenience alias — scripts and agents should call whispernotes, which always exists.
~/Library/Application Support/WhisperNotes/api.sock with 0600 permissions — only your macOS user account can connect. No TCP port, no network interface, unreachable from any other machine.The contents of this repository (documentation and metadata) are MIT-licensed. Whisper Notes itself — the application, including the embedded MCP server and CLI — is commercial software; see whispernotes.app for terms.