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scamverifyai/scamverify-mcp

scamverifyai/scamverify-mcp

ScamVerify™ MCP Server - AI-powered scam and threat verification for Claude Desktop, ChatGPT, Cursor, and other MCP clients. Verify phone numbers, URLs, text messages, emails, documents, and QR codes against 8M+ threat intelligence records.
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add scamverify-mcp -- npx -y scamverify-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1 ★ · scamverifyai/scamverify-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 scamverifyai/scamverify-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

ScamVerify MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

AI-powered scam and threat verification MCP server. Verify phone numbers, URLs, text messages, emails, documents, and QR codes against 10M+ threat intelligence records from FTC, FCC, URLhaus, ThreatFox, and community reports.
**Server URL:** https://scamverify.ai/api/mcp
**Transport:** Streamable HTTP (stateless) or stdio (local proxy)
**Authentication:** API key or OAuth 2.1 (PKCE)
Tools (10)
| Tool | Description |
|------|-------------|
| check_phone | Look up a US phone number for scam reports, carrier info, robocall flags, and community reports. Returns risk score (0-100), verdict, and detailed signals from FTC, FCC, carrier, and community data. |
| check_url | Check a website URL for safety. Analyzes domain age, SSL certificate, redirect chains, brand impersonation, Google Web Risk, URLhaus, ThreatFox, and community reports. |
| check_text | Analyze a text/SMS message for scam indicators. Extracts and cross-references embedded phone numbers and URLs. AI identifies scam type, red flags, and risk level. |
| check_email | Analyze an email for phishing indicators. Checks sender domain, email headers (SPF/DKIM/DMARC), brand impersonation, embedded URLs and phone numbers. |
| check_document | Analyze a document image for scam indicators. Uses vision AI to extract entities (addresses, officials, citations, phone numbers) and verifies them against government databases. |
| check_qr | Scan a QR code image and verify its contents. Decodes the QR code server-side and, if it contains a URL, runs full URL verification. |
| batch_phone | Look up multiple phone numbers in a single request (max 100). |
| batch_url | Check multiple URLs in a single request (max 100). |
| get_usage | Check your current API usage quota and rate limits for the billing period. |
| get_status | Check the operational status of ScamVerify API services. No authentication required. |
Prompts (4)
| Prompt | Description |
|--------|-------------|
| investigate_phone | Investigate a suspicious phone number for scam indicators and provide a safety recommendation. |
| verify_url | Check if a website URL is safe to visit and provide a detailed safety assessment. |
| analyze_text | Analyze a suspicious text message for scam indicators and explain the findings. |
| check_email | Analyze a suspicious email for phishing indicators and provide a safety assessment. |
Data Sources
- **FTC Do Not Call Complaints** - 9.7M+ records with scam type classification
- **FCC Consumer Complaints** - 443K+ telecom violation reports
- **URLhaus** - 74K+ active malicious URL indicators
- **ThreatFox** - 60K+ IOCs (indicators of compromise)
- **Carrier Intelligence** - Line type, CNAM, VoIP detection, high-risk carrier flagging
- **Community Reports** - User-submitted scam reports with verification
Setup
Option 1: Remote Server (Recommended)
Connect directly to the hosted ScamVerify MCP server. No installation required.
**Claude Desktop:**
**Claude Desktop (OAuth - no API key needed):**
When using without an API key, Claude Desktop will initiate the OAuth 2.1 flow. You'll be redirected to sign in at scamverify.ai and authorize access.
来源
awesome · https://github.com/scamverifyai/scamverify-mcp
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