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Public phishing feed: suspicious/confirmed phishing URLs detected hourly. No auth, CC0.
About
Public phishing feed: suspicious/confirmed phishing URLs detected hourly. No auth, CC0.
Remote endpoints: streamable-http: https://mcp.phishunt.io/
Security Report
10.0
Low Risk10.0Low RiskValid MCP server (2 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
7 tools verified · Open access · No issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-0xdaniellopez-phishunt": {
"url": "https://mcp.phishunt.io/"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
phishunt-mcp
Model Context Protocol (MCP) server for 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 sync detection deltas.
- 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
| Name | Purpose |
|---|---|
check_domain | Is this domain/URL substring in the active phishunt feed? |
list_brand_phishings | List active phishings targeting a brand (e.g. microsoft). |
get_recent_detections | Delta sync: detections since an ISO date. |
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 (URL-shape heuristics, stored score/verdict if known, historical detections). Unknown suspicious domains are auto-queued for full analysis. |
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 .
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
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