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Phishunt

by 0xDanielLopezversion 0.1.0i★ –iRuns in the cloud
Registry nameio.github.0xDanielLopez/phishunt

Install

Overview

Description from the maker (original English)

Public phishing feed: suspicious/confirmed phishing URLs detected hourly. No auth, CC0.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Cybersecurity

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://mcp.phishunt.io/

Run this in your terminal

claude mcp add --transport http phishunt https://mcp.phishunt.io/

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
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.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account 0xDanielLopez, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Cybersecurityi

  • More stars than 0% of the other 996 servers in this category
  • Published to the registry more recently than 28% of the other 996 servers in this category
  • Basic checks equal to or better than 100% of the other 996 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Phishunt safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 4 months ago.

Which apps can use it?

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.

What can I use instead?

In the same category: Action1 MCP by usefulapi, ipdata MCP by usefulapi, MaxMind minFraud MCP by usefulapi

Alternatives

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

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README from the maker

Open the README

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.

phishunt-mcp

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.

  • Endpoint: https://mcp.phishunt.io/ (HTTP JSON-RPC 2.0, POST)
  • Protocol version: 2025-11-25
  • Auth: none (data is CC0)
  • License (data): CC0-1.0 · License (code): MIT

Tools

NamePurpose
check_domainIs 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_phishingsList active phishings targeting a brand (e.g. microsoft).
get_recent_detectionsLive detections last verified on or after an ISO date (use first_seen to find new ones).
get_brand_metadataCurated brand metadata (display name, category, AI characterisation, active count).
get_cert_metadataFactual metadata for an abused TLS intermediate CA (operator, root, key type, siblings).
search_phishingsFree-text search across active phishing URLs/domains/IPs (min 3 chars).
analyze_urlPassive 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_deepACTIVE 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_infrastructureFind infrastructure/content overlap for a known indicator (shared IP, cert, nameservers, favicon, etc.); surfaces the possible campaign / suspected cluster it belongs to.
get_campaignsList possible campaigns / suspected clusters (shared-infrastructure groupings), optionally filtered by brand or active-only.
get_campaignFull detail for one possible campaign / suspected cluster: evidence breakdown, every member indicator, export links.

Use with Claude Desktop / Claude.ai / other MCP clients

Add to your MCP client config:

{

"mcpServers": { "phishunt": { "url": "https://mcp.phishunt.io/" } } }

Quick test

curl -sX POST https://mcp.phishunt.io/ \

-H 'content-type: application/json' \ -d '{"jsonrpc":"2.0","method":"tools/list","id":1}' | jq .

Secrets

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

Develop

npm install

npm run dev # wrangler dev on http://localhost:8787 MCP_URL=http://localhost:8787 npm test

Deploy

npm run deploy       # wrangler deploy

MCP_URL=https://mcp.phishunt.io npm test

after the phishunt-backend release that adds 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.

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