Action1 MCP by usefulapi
Read endpoints, missing updates, CVE vulnerabilities, installed software and reports in Action1.
Description from the maker (original English)
Public phishing feed: suspicious/confirmed phishing URLs detected hourly. No auth, CC0.
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Works in Claude on the web, desktop and mobile:
https://mcp.phishunt.io/Run this in your terminal
claude mcp add --transport http phishunt https://mcp.phishunt.io/Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"phishunt": {
"url": "https://mcp.phishunt.io/"
}
}
}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": {
"phishunt": {
"type": "http",
"url": "https://mcp.phishunt.io/"
}
}
}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.
ChatGPT connects only to servers on the internet:
https://mcp.phishunt.io/Menu names can differ slightly by plan and over time.
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.
We have not read this server’s tool list yet; we check endpoints in rotation.
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 0xDanielLopez, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
Not checked yet; we read the tool list when we check the endpoint
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 in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Action1 MCP by usefulapi, 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
Read endpoints, missing updates, CVE vulnerabilities, installed software and reports in Action1.
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.
Model Context Protocol (MCP) server for [phishunt.io](https://phishunt.io).
Exposes the public phishing-domains feed as MCP tools so AI agents can look up suspicious domains, list phishings by targeted brand, and list live detections by last verification.
https://mcp.phishunt.io/ (HTTP JSON-RPC 2.0, POST)| Name | Purpose |
|---|---|
check_domain | Is this host (or a list of up to 20) in the active phishunt feed? Exact match; misses are checked against the archive. PREVIOUSLY DETECTED is printed only when the archived row's verdict is medium, high or critical; a low/noise archive row is reported as a low-signal candidate, and a host that is not valid DNS is reported as such instead of an upstream error. |
list_brand_phishings | List active phishings targeting a brand (e.g. microsoft). |
get_recent_detections | Live detections last verified on or after an ISO date (use first_seen to find new ones). |
get_brand_metadata | Curated brand metadata (display name, category, AI characterisation, active count). |
get_cert_metadata | Factual metadata for an abused TLS intermediate CA (operator, root, key type, siblings). |
search_phishings | Free-text search across active phishing URLs/domains/IPs (min 3 chars). |
analyze_url | Passive phishing-signal analysis of any URL/domain - returns a single adjudicated verdict (phishing / likely_phishing / suspicious / no_evidence / not_assessed) plus a calibrated probability block beside it (P of malicious at the API's ~1.3% base rate, relative risk, 80% interval, per-class evidence; URL-only estimates stay low by design, so a low probability is not proof of safety) and the supporting evidence (URL-shape heuristics, stored score/verdict if known, external-feed cross-reference, historical detections). Unknown suspicious domains are auto-queued for full analysis. |
analyze_url_deep | ACTIVE deep analysis of a URL (contacts the target: HTTP + TLS cert + RDAP + NS + GeoIP, SOCKS5-isolated) and, when the render lane is free, renders the page in a headless browser through the same proxy; it re-scores with the full 5-layer engine and returns coverage (active_rendered / active_no_render), render.status and a probability block. Slow (typically 15-45s, up to ~50s), token-gated, and rate-limited (shared 50/day budget, single-flight) - requires DEEP_TOKEN configured on this Worker; use only when analyze_url is inconclusive. |
get_related_infrastructure | Find infrastructure/content overlap for a known indicator (shared IP, cert, nameservers, favicon, etc.); surfaces the possible campaign / suspected cluster it belongs to. |
get_campaigns | List possible campaigns / suspected clusters (shared-infrastructure groupings), optionally filtered by brand or active-only. |
get_campaign | Full detail for one possible campaign / suspected cluster: evidence breakdown, every member indicator, export links. |
Add to your MCP client config:
{
"mcpServers": { "phishunt": { "url": "https://mcp.phishunt.io/" } } }
curl -sX POST https://mcp.phishunt.io/ \
-H 'content-type: application/json' \ -d '{"jsonrpc":"2.0","method":"tools/list","id":1}' | jq .
analyze_url_deep needs a DEEP_TOKEN Worker secret (the backend's X-Phishunt-Deep-Token). Without it configured, the tool still appears in tools/list but fails clean on tools/call — it never reaches the backend.
wrangler secret put DEEP_TOKEN
npm install
npm run dev # wrangler dev on http://localhost:8787 MCP_URL=http://localhost:8787 npm test
npm run deploy # wrangler deploy
MCP_URL=https://mcp.phishunt.io npm test
probability and history.apex_candidates_seen:REQUIRE_PROBABILITY=1 MCP_URL=https://mcp.phishunt.io npm test
Without REQUIRE_PROBABILITY=1 the live probability / history assertions are reported as SKIPPED while the backend field is absent or probability.status is unavailable; with it they fail.