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Scam and phishing detection for AI agents: safe/warn/danger verdicts for URLs and messages.
com.cautellus/scam-detection is a remote MCP server published at cautellus.com. It has been probed 6 times since 9/12/2026. It answered in 6 of them (100.0%), a near-uninterrupted record. Median response time is 327 ms, placing it among the faster endpoints. It offers a narrow, focused set of 3 tools. On the protocol side it still runs 2025-11-25 and has not moved to the newer spec.
Can an LLM agent pick the right tool here — names, descriptions and parameter clarity are assessed.
scan_url — No mention of error handling for invalid URLsscan_message — No explicit constraints on message length or content typesget_usage — No documentation of API rate limits or input validationtools/list structure, inputSchema validity, and a functional smoke test — the components of the 0-100 score.
Tools the server advertised in the latest measurement — measured, not catalog-claimed.
scan_urlCheck a URL or domain for phishing and scam risk before visiting, clicking, or transacting with it. Returns a verdict (safe | warn | danger), a 0-100 risk score, a plain-English summary, and specific findings (brand impersonation, typosquatting, community scam reports, threat-feed hits). Costs 1 scan credit.
urlstringrequiredscan_messageAnalyze a message, email, or text for scam indicators before acting on it (payment requests, verification codes, urgency pressure, impersonation). Returns a verdict (safe | warn | danger), a 0-100 risk score, a summary, and specific findings. Costs 1 scan credit.
messagestringrequiredget_usageCheck the API key’s remaining prepaid scan credits, monthly plan usage, and credit expiry. Free — consumes no credits.
Derived by comparing consecutive probes — changes in era, protocol version, build and reachability.
Add this badge to your README — it updates automatically as measurements change.
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Sign up free to seeThe catalog entries whose name and description are closest to this one, found with the same index the search box uses.
Persistent memory and drift detection for AI agents across session restarts.
Persistent AI memory with semantic search, conflict detection, and ticketing.
Make AI phone calls from any AI assistant. BubblyPhone's MCP server lets you manage AI-powered phone agents — book reservations, schedule appointments, set up customer support lines, or have your AI agent call anyone on your behalf. ## Features - **Make AI phone calls** — Initiate outbound calls with AI agents (Gemini, GPT) that handle the conversation - **Manage phone numbers** — Search, purchase, and configure numbers in 30+ countries - **Configure AI agents** — Set system prompts, choose AI models, select voices - **Monitor calls** — View call events, transcripts, and recordings - **Track billing** — Check balance, usage, and transaction history - **Mid-call control** — Inject context, transfer calls, or hang up ## 20 Tools `make_call` · `list_calls` · `get_call` · `hangup_call` · `transfer_call` · `inject_context` · `get_call_transcript` · `get_call_events` · `search_phone_numbers` · `list_phone_numbers` · `buy_phone_number` · `get_phone_number` · `update_phone_number` · `get_b
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| Run | Era | Modern | ms | Legacy | ms | Versions |
|---|---|---|---|---|---|---|
| 2026-09-13 01:33:33 | Legacy | 200 | 327 | 200 | 341 | 2025-06-18 |
| 2026-09-12 23:31:36 | Legacy | 200 | 396 | 200 | 409 | 2025-06-18 |
| 2026-09-12 21:29:15 | Legacy | 200 | 322 | 200 | 304 | 2025-06-18 |
| 2026-09-12 19:27:29 | Legacy | 200 | 291 | 200 | 258 | 2025-06-18 |
| 2026-09-12 17:24:09 | Legacy | 200 | 434 | 200 | 346 | 2025-06-18 |
| 2026-09-12 15:21:42 | Legacy | 200 | 280 | 200 | 279 | 2025-06-18 |
Each block is one measurement round. Green: working response. Amber: responded but the server was returning errors (5xx). Red: no response at all.
Each cell is one probe run. Faded cells are incomplete probes — one leg did not answer, so the era is inconclusive.
The two probe legs separately: modern server/discover and legacy initialize.
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