Connect-MCP

Trust Onion Scam Check

io.trustonion/scam-check · v1.1.0

Verified AI voice-clone scam incidents, loss stats, and a family verification protocol. Keyless.

MCPremoteno credentialsImages, video & audioNews

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 7 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 93/100

What it does: 7 tools · 7 read, 0 write · Images, video & audio

Test call list_scam_types: worked (1,149 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +3
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://trustonion.io/mcp

Tools

7 tools listed at last check
  • search_incidents Search verified, published Trust Onion Pulse (Voice Clone Scam Pulse) incidents by attack type, victim type, country, outcome, incident year, publication date range, and keyword. Returns compact summaries (newest first by default), a total count, and nextCursor for the next page. Call get_incident w
  • get_incident Get the full published Trust Onion case study for one verified incident by slug, including source reporting and prevention analysis.
  • get_scam_stats Return the current Trust Onion Pulse summary (all time, or for one incident year), including conservative loss classifications. Only explicitly-USD losses are summed.
  • explain_scam_type Explain a documented editorial scam pattern with published article evidence, or a Trust Onion topic hub with warning signs and protection steps. Editorial coverage is not a verified incident count.
  • list_scam_types List the current editorial scam patterns and published article links, separately from verified incident statistics.
  • get_verification_protocol Return Trust Onion's five-step family verification protocol for suspicious calls, texts, and video calls.
  • assess_call_scenario Deterministically match a described call or text to current scam hubs, red flags, and the recommended verification step. No external LLM is used.

Badge

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