WatchGuard MCP
WatchGuard Cloud Firebox, Endpoint Security, ThreatSync, NDR and AuthPoint APIs for every customer
Description from the maker (original English)
Detects leaked secrets & API keys: 32+ provider rules (AWS, GitHub, Stripe, OpenAI…), zero deps.
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": {
"secrets-audit": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/eltociear/secrets-audit-mcp:1.0.1"
]
}
}
}Run this in your terminal
claude mcp add secrets-audit -- docker run -i --rm ghcr.io/eltociear/secrets-audit-mcp:1.0.1Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"secrets-audit": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/eltociear/secrets-audit-mcp:1.0.1"
]
}
}
}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": {
"secrets-audit": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/eltociear/secrets-audit-mcp:1.0.1"
]
}
}
}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 eltociear, 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 (1.0.1) reached the registry 5 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker 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.
MCP server that detects leaked credentials in source code. Zero dependencies. Single file.
Detects API keys, OAuth tokens, private keys, webhooks, and crypto wallet secrets across 30+ providers (AWS, GCP, GitHub, Stripe, OpenAI, Anthropic, Slack, Discord, Telegram, Twilio, SendGrid, Heroku, DigitalOcean, npm, HuggingFace, Replicate, Cloudflare, and more).
Companion to skill-audit-mcp (behavioral patterns) — together they cover secrets + behaviors in one MCP toolchain.
Most secret scanners are giant Go binaries (trufflehog, gitleaks). This is a 500-line Python file that runs as an MCP stdio server, so any LLM agent (Claude Desktop, Cursor, Windsurf, Cline) can ask it scan_directory and get a structured report in their tool-call response.
Use cases:
# Python (recommended)
git clone https://github.com/eltociear/secrets-audit-mcp.git python3 secrets-audit-mcp/server.py # stdio MCP server
npm install -g @eltociear/secrets-audit-mcp
{
"mcpServers": { "secrets-audit": { "type": "stdio", "command": "python3", "args": ["/path/to/secrets-audit-mcp/server.py"] } } }
| Tool | Use case |
|---|---|
scan | Scan inline text/content |
scan_file | Scan a single file |
scan_directory | Scan a directory recursively (skips .git, node_modules, __pycache__, etc.) |
All return a risk score (0-100), severity bucket (CRITICAL/HIGH/MEDIUM/LOW/SAFE), and per-finding details with line numbers and redacted matches.
Providers (32 rules total):
apikey="..." heuristic, generic secret assignmentsEach match is redacted (AKIA***MPLE) before being returned, so the report itself doesn't leak the secret to the next LLM hop.
- name: Secrets audit
run: | python3 server.py <<EOF | jq -r '.result.content[0].text' {"jsonrpc":"2.0","id":1,"method":"tools/call", "params":{"name":"scan_directory","arguments":{"path":"."}}} EOF
A first-class GitHub Action will ship as eltociear/secrets-audit-action@v1.
skill-audit-mcp covers behavioral malware patterns (download-and-execute, prompt injection, credential exfiltration). Run both for full coverage:
| Layer | Tool | Detects |
|---|---|---|
| Static behaviors | skill-audit-mcp | curl-pipe-sh, exfiltration, prompt injection (68 patterns) |
| Static secrets | secrets-audit-mcp | leaked keys/tokens/PEMs (32 rules) |
Polar.sh — Security Pulse Monthly ships a monthly briefing on new MCP server vulnerabilities, secrets-audit-mcp rule updates, and mitigation playbooks. $5/mo.
Polar.sh — Pro Audit Stack adds 50 paid scan credits + Discord + custom rule submission. $20/mo.
MIT. See LICENSE.
This MCP server is free. For server-side / batch / no-install use, the same scanner is a pay-per-call x402 HTTP API: POST https://eltociear-secrets-audit.hf.space/audit ($0.01 USDC on Base) and /audit/url ($0.03). In the official MCP Registry as io.github.eltociear/secrets-audit-mcp.
Maintained by the same author — paid services on Polar (Stripe checkout):
Full catalog: polar.sh/eltociear
Same operator, same x402 rails: [clean-read](https://eltociear-skill-audit.hf.space/read) turns any URL into clean Markdown for AI agents — fetches the page, strips nav/ads/boilerplate (trafilatura), returns the main content with title and word count. POST https://eltociear-skill-audit.hf.space/read — $0.005 USDC on Base, no signup.