Fraud Prevention Server

Open-source MCP server for AI-powered fraud prevention. Detects fraudulent IPs, emails, URLs and phone numbers using free APIs — a fully free alternative to proprietary solutions.

Features

• IP Reputation — Detect proxies, VPNs, Tor exit nodes, bots and abusive IPs
• Email Risk — Disposable emails, spam traps, fraud scoring, deliverability
• URL Safety — Phishing, malware, spam URL detection
• Phone Validation — VoIP detection, line type, fraud scoring
• Breach Exposure — HaveIBeenPwned integration for data breach lookups
• Composite Risk Score — Multi-signal ALLOW/MONITOR/REVIEW/BLOCK decision

Tools

Tool	Description
check_ip_reputation	IP fraud score, proxy/VPN/Tor/bot flags
check_email_risk	Email validation, disposable, spam trap, fraud score
check_url_safety	Phishing, malware, spam URL detection
check_phone_risk	Phone validity, VoIP, fraud score
check_breach_exposure	Data breach exposure via HaveIBeenPwned
calculate_composite_risk	Combined multi-signal risk analysis
get_fraud_prevention_info	Server info and API key setup guide

Data Sources

• IPQualityScore — Free tier: 5,000 requests/month. Get free key at ipqualityscore.com/create-account
• HaveIBeenPwned — Breach database. Get key at haveibeenpwned.com/API/Key

Installation

pip install fraud-prevention-mcp-server

Configuration

Set your free API keys as environment variables:

export IPQS_API_KEY=your_ipqualityscore_key
export HIBP_API_KEY=your_haveibeenpwned_key

Claude Desktop Integration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "fraud-prevention": {
      "command": "fraud-prevention-mcp-server",
      "env": {
        "IPQS_API_KEY": "your_key_here",
        "HIBP_API_KEY": "your_key_here"
      }
    }
  }
}

Example Usage

check_ip_reputation("192.168.1.1")
→ { fraud_score: 15, risk_level: "low", is_proxy: false, is_vpn: false, ... }

check_email_risk("[email protected]")
→ { fraud_score: 85, risk_level: "critical", disposable: true, recommendation: "BLOCK" }

check_breach_exposure("[email protected]")
→ { breach_count: 3, risk_level: "high", has_password_exposure: true, ... }

calculate_composite_risk(ip="1.2.3.4", email="[email protected]")
→ { composite_risk_score: 45, decision: "REVIEW", action: "Manual review recommended" }

Risk Levels

Score	Level	Recommendation
0–29	Low	ALLOW
30–59	Medium	MONITOR
60–84	High	REVIEW
85–100	Critical	BLOCK

Why This Server?

• Free — Uses only free-tier APIs, no enterprise contracts needed
• Open Source — MIT license, fully auditable
• Multi-Signal — Combines IP, email, URL and phone signals
• Actionable — Returns ALLOW/MONITOR/REVIEW/BLOCK decisions

License

MIT