WatchGuard MCP
WatchGuard Cloud Firebox, Endpoint Security, ThreatSync, NDR and AuthPoint APIs for every customer
Description from the maker (original English)
Audit your own smart-home devices: destinations, encryption, open ports, A-F grade.
These three are never merged into one score: opinions, measurements and popularity are different things.
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.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"iotaudit": {
"command": "uvx",
"args": [
"iotaudit",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add iotaudit -- uvx iotaudit mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"iotaudit": {
"command": "uvx",
"args": [
"iotaudit",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"iotaudit": {
"type": "stdio",
"command": "uvx",
"args": [
"iotaudit",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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 8, 2026
The registry name was verified with the GitHub account emirmrkaljevic, which owns the repo
We have not read this repo from GitHub yet
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
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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 –, and the latest version (0.1.18) reached the registry yesterday.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: WatchGuard MCP, ipdata MCP by usefulapi, MaxMind minFraud MCP by usefulapi
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
WatchGuard Cloud Firebox, Endpoint Security, ThreatSync, NDR and AuthPoint APIs for every customer
Look up location, network, company and threat data for IP addresses and ASNs in ipdata.
MCP server for MaxMind minFraud — score transactions for fraud risk from your AI assistant.
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.
If you find this useful, you can support me by getting a SkinToScan pack, my other project. It's a one-time purchase that directly funds my open-source work.
pip install iotaudit
sudo iotaudit auto # asks for consent, audits your own network, writes an HTML report iotaudit analyze capture.pcap # no root needed: analyse a pcap or PCAPdroid capture you already have
Quick links: sample report · what common devices send · Home Assistant · MCP server
Is your smart pet feeder, camera or plug safe? iotaudit watches what your own IoT devices do on the network and gives each one an A-F grade, a one-line safety verdict, and a one-page HTML report. Everything runs locally: no account, no telemetry, no cloud.
It answers the questions you actually have about a cheap smart device:
nmap scan with risk notes (telnet, RTSP, UPnP, ADB, …).iotaudit diff compares two saved JSON results and exits 1 when a new destination, country, open port, worse grade, unencrypted flow, UPnP forward, or device appeared.Status: 0.1.18. CSV export via
iotaudit export --format csv; Home Assistant summary via--ha-json.iotaudit autodiscovers devices, runs the safe checks, captures passively, and writes the report in one command. Hotspot + ARP capture, pcap and PCAPdroid analysis, IPv6/NDP, device-type
identification, UPnP port-forward audit, an opt-in default-password check, grading with a
one-line safety verdict, HTML and PDF reports, a diff between two audits, offline known-issue
hints, a local web UI and the MCP server work. A full vulnerability feed is still on the
roadmap.
A report for a Tuya-associated pet feeder (anonymized). The one-line verdict sits beside the grade: telnet open on the LAN, public DNS, TLS cloud traffic to the US, unverified custom encryption, and a P2P video setup whose stream was not observed on this run. The longer summary is still underneath. It also shows an odd special-use "LAN peer" that is not a real device:
Open docs/sample-report.html in a browser for the full version.
A short walk-through of a capture, the UPnP port-forward check and the opt-in default-password check (animated SVG, no audio, no tracking):
pipx install iotaudit
pip install "iotaudit[mcp]" pip install "iotaudit[pdf]"
pipx install "git+https://github.com/emirmrkaljevic/iotaudit"
Capturing needs root (sudo). The optional port scan needs nmap.
One command does the audit. It asks you to confirm this is your network, picks the active interface, finds devices, identifies them, scans ports, lists UPnP forwards (read-only), captures passively for 60 seconds, and writes the report.
sudo iotaudit auto
Each device is printed on one line, then the report path. Files land in ~/iotaudit/YYYY-MM-DD/ as HTML and JSON. A PDF is written next to them when iotaudit[pdf] is installed (pip install "iotaudit[pdf]"). If that folder already has a run from today, the new run is compared with the latest one.
Skip the typed confirmation with the existing ownership flag:
sudo iotaudit auto --i-own-this-network
A longer capture, or an explicit folder:
sudo iotaudit auto --i-own-this-network --duration 120 --out-dir ~/iotaudit
nmap and tcpdump are required. If either is missing, the command prints one install line and stops:
# macOS
brew install nmap tcpdump
sudo apt install nmap tcpdump
On macOS, Homebrew and a pipx install often sit outside sudo's PATH:
sudo env PATH="$PATH" "$(which iotaudit)" auto --i-own-this-network
Default passwords are not tested. That check stays opt-in, one device at a time (iotaudit credcheck, which is the only command with --yes).
auto does not ARP-spoof and does not start a hotspot. It records traffic that already passes this computer. To pull one device's traffic through this machine, use capture --mode arp below.
brew install nmap
pipx install iotaudit
sudo "$(which iotaudit)" capture --mode arp --i-own-this-network
iotaudit scans your LAN, lists devices (IP, MAC, vendor; Tuya/Espressif flagged as likely IoT), and lets you pick one. It then ARP-spoofs only that device so its traffic flows through your Mac, captures for up to an hour (Ctrl+C stops early and still writes the report), and restores the ARP tables and IP-forwarding on exit. With a device picked, --watch-lan (phone P2P) and the IPv6/NDP filter are on by default.
sudo apt install nmap
pipx install iotaudit
sudo "$(which iotaudit)" capture --mode arp --i-own-this-network
sudo iotaudit capture --mode hotspot --iface wlan0 --ssid iotaudit --password 'choose-a-pass' \ --device 10.42.0.50 --scan --out feeder.html
# from Wireshark, your router, or OpenWrt `tcpdump -w`
iotaudit analyze capture.pcap --device 192.168.1.50 --json results.json --out report.html
The report lands at ./iotaudit-report.html with a matching .json next to it.
iotaudit compares banners it already has with a small catalog shipped in the package (src/iotaudit/data/known_issues.yaml). The facts it can use are:
Server header from a response the device sentThere is no lookup at runtime and no hints --update-from command. The file changes only when you install a newer iotaudit.
Each hint is a possibility, not proof the firmware is vulnerable. The text always includes: possible, based on version string; verify firmware. The reference is the NVD page for that CVE.
Hints show in the HTML report, in the PDF (the PDF is the same HTML), in the device JSON as known_issue_hints, and in the MCP analyze_pcap result.
Grade rule. A hint does not change the A-F grade unless both are true: the observed version string equals a version the entry lists exactly, and the entry severity is critical. That case subtracts 25 points, the same as one high finding, and the subtraction is applied after the limited-data cap so it still moves a thin capture. A version range, a product name without that exact version, an open port on its own, or any severity other than critical leaves the score unchanged. Telnet being open, an exposed UPnP IGD, or RTSP with no authentication is not by itself a CVE. The catalog cites one only when the banner or the service fact matches that entry.
Limits:
200 has no WWW-Authenticate header, or when the scan extra info already says so. The shipped list does not treat that fact alone as a CVE. It is mentioned on a hint when a versioned RTSP entry also matches.pip install "iotaudit[pdf]"
iotaudit analyze capture.pcap --device 192.168.1.50 --out report.html --pdf sudo "$(which iotaudit)" capture --mode arp --i-own-this-network --pdf
iotaudit report --pdf report.html iotaudit report --pdf results.json --out results.pdf
--pdf on analyze and capture writes a PDF next to the HTML. Print styles put the grade and verdict at the top of each device (the first device shares page 1 with the title; every later device starts on a new page), keep table rows in one piece, and repeat the table header. The on-screen traffic chart is left out of the PDF.
The renderer is xhtml2pdf, a pure-Python extra (xhtml2pdf, pulled in by iotaudit[pdf]). No Cairo or Pango install is required. If the extra is not installed, analyze and capture still write the HTML and print one install line. iotaudit report --pdf prints that same line and exits, because the PDF is its only output. The MCP tool analyze_pcap takes pdf=true together with report_path and writes the PDF beside the HTML.
iotaudit diff "$HOME/iotaudit/yesterday.json" "$HOME/iotaudit/toOnly the beginning is shown; read the rest in the repo