ffraud
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Alternatives to ffraud
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Related Servers
- AlicenseNot gradedqualityCmaintenanceMCP server wrapping the fpp CLI as a single generic run tool for freelancer client payment-risk checks.MIT
- AlicenseNot gradedqualityBmaintenanceExposes typed crypto-security tools — token risk scoring, wallet forensics, deployer reputation, sentiment, and report generation — to MCP-capable agents over streamable HTTP or stdio. Gates premium calls behind per-request x402 crypto micropayments, delegating verification and settlement to a self-hosted facilitator and failing closed when payment cannot be confirmed.MIT
- AlicenseNot gradedqualityBmaintenanceEnables users to check a site, e-mail, phone number, IBAN, or SIREN against public sources and receive sourced anti-scam signals in French. The same checks are available remotely over MCP and locally via stdio, sharing the HTTP API's key and quota.AGPL 3.0
- AlicenseAqualityDmaintenanceAn open-source MCP server for AI-powered fraud prevention that detects fraudulent IPs, emails, URLs, and phone numbers using free APIs and provides actionable risk scores.716 PyPIMIT

mcp-fraudlabsproofficial
AlicenseNot gradedqualityBmaintenanceFraud Prevention MCP server using FraudLabs Pro API.MIT- AlicenseAqualityCmaintenanceInvestigate fraud directly from Claude, Cursor, or any MCP-compatible client. Analyze suspicious activity with clear, evidence-backed verdicts. Pivot from a single signup to every account sharing the same device, IP address, or email inbox. Check entities against a cross-operator abuse network, review linked accounts, and efficiently process your fraud review queue. Read-only by default, with no r1067 npmMIT
TDQS
Scored across 5 tools
email_check, domain_check, ip_check and site_check each target a clearly different entity or scope (address vs domain reputation vs full website security), so selection is mostly obvious. The only friction is ip_check vs ip_reports, which both return abuse history for an IP, and to a lesser degree site_check vs domain_check, which both consult phishing lists — though descriptions do draw the line (score vs evidence, single lookup vs full site audit).
Four of five tools follow a clean <entity>_check pattern (email_check, domain_check, ip_check, site_check), which makes the set easy to scan. ip_reports is the one deviation, a noun-only, plural form that breaks the verb/noun rhythm and slightly obscures that it is another IP-scoped lookup.
Five tools covering four entity types plus an evidence drill-down is tightly scoped with no filler. Each tool maps to a distinct check an agent would actually perform before a signup, checkout or API call.
The surface covers the main fraud triage entities — email, domain, IP and whole-site posture — with both a score and an evidence path, which is solid lifecycle coverage for a lookup service. The notable gap is the absence of a phone/number check (a standard fraud signal alongside email and IP) and of any combined or batch operation for screening several indicators in one call.