Scry
ai.tunnelmind/scryFree IPv4 lookups against a distributed attacker-observation corpus.
Tools · 12
Returns aggregate Scry corpus telemetry: total observation count, distinct source IPs, first/last observation timestamps, last-24h activity, and per-protocol breakdowns. Useful as a liveness/density c…
Returns Scry's corpus knowledge for a single IPv4 address: when it was first/last observed, observation count, protocols and ports targeted, ASN, country, category (actor/scanner/not_observed), and co…
Look up many IPv4 addresses in one request. Up to 100 IPs per call. Same per-IP shape as scry_check, keyed by IP.
Top-N source dimensions over a time window. Useful for situational awareness — 'where is the noise coming from right now?'
Bucketed observation counts over time. Detect bursts, plot trends, sanity-check whether attacker activity is rising or falling.
Roll-up of corpus activity for a single ASN — observation count, distinct source IPs, actor count, scanner count, high-confidence actor count, and per-protocol breakdown.
Roll-up of corpus activity by ISO country code. Same shape as scry_asn.
List detected attack tools — (protocol, payload, path) tuples sent by 3+ distinct source IPs. Aggregate metadata only; never lists member actors.
Single tool detail by 16-char hex id from scry_tools.
Active threat campaigns — coordinated attacker activity that exceeds the noise floor. ≥5 distinct actors, ≥3 ASNs, ≤5 destination ports, ≥1h history.
Single campaign detail by id (format: c[0-9a-f]{15}).
Recent observations feed — aggregated by source IP within a time window. Cursor-paginated via since_ms.
Similar MCP servers embedding-nearest
How to use
Add to your Claude Desktop / Cursor / Cline MCP config:
{
"mcpServers": {
"scry": {
"url": "https://mcp.tunnelmind.ai/mcp",
"transport": "streamable-http"
}
}
}