phishunt-mcp
Provides MCP tools to query the phishunt.io phishing feed, enabling domain checks, brand-specific phishing lists, delta syncs, and phishing-signal analysis.
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. |
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. |
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
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。