Zero-config MCP security scanner for AI-generated apps. 25K+ vulnerability patterns.
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"frogeye-security-scanner","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Not distributed through a package registry we index.
| when | check | result | http | latency | detail |
|---|---|---|---|---|---|
| 5 h ago | mcp initialize | failed | 500 | 204 ms | http 500 |
| 5 h ago | http get | failed | 500 | 162 ms | http 500 text/html; charset=UTF-8 |
| 18 h ago | mcp initialize | failed | 500 | 187 ms | http 500 |
| 18 h ago | http get | failed | 500 | 162 ms | http 500 text/html; charset=UTF-8 |
Attributed to the source that supplied each field. Treated as claims, not facts.
No long description beyond the summary.
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.