io.github.leonlesenechal/knocklog · v1.0.1 · agents-and-memory
Knocklog is healthy: it completed an MCP handshake in 1721 ms and exposes 3 tools.
See how a website treats AI agents, and check whether a ChatGPT, Claude or Perplexity visit is real.
Endpoint: https://api.knocklog.ai/mcp/directory (streamable-http)
Repository · Website · JSON · Add to my inventory
| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 3 |
| Latency | 1721 ms |
| Last checked (UTC) | 2026-11-09T22:25:38.109Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-11-09T22:25:38.109Z | Healthy | 1721 |
scan_site | Checks a public website from the outside: which AI agents its robots.txt allows or blocks (training crawlers, AI search crawlers, user-triggered assistants), whether its content is readable without JavaScript, and whether it offers llms.txt and markdown. Returns a 0–100 score, a grade and prioritise |
classify_request | Identifies whether a request comes from an AI agent, which one, what kind (training, AI search, user-triggered, agentic browser…) and whether its identity is verified or spoofed, using what each operator publishes (IP lists, reverse DNS, Web Bot Auth signatures; see https://knocklog.ai/agents). Pass |
list_known_agents | Returns the directory of known AI agents and crawlers: operator, class, robots.txt token, whether they honour robots.txt, and how each can be verified. Optionally filter by agent_class. |