Knocklog
Server Details
See how a website treats AI agents, and check whether a ChatGPT, Claude or Perplexity visit is real.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- knocklog/api
- GitHub Stars
- 0
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 3 tools
Each tool targets a clearly different object: classify_request analyzes a single live request, list_known_agents returns reference directory data, and scan_site audits an external website. Although classification draws on the same agent knowledge as the directory, the action and input shape are distinct enough that an agent would not misselect.
All three names use a consistent snake_case verb_noun pattern (classify_request, list_known_agents, scan_site), with clear verbs indicating the operation. No mixed conventions or vague names.
Three tools is on the thin side but each maps to a genuine, non-redundant workflow in a narrow domain. The set is focused rather than padded, though it sits at the lower boundary of what feels comfortably complete.
The core lifecycle — identify a request, look up known agents, and audit a site — is covered with no dead ends. Minor gaps exist: there is no batch classification, no retrieval of past classification results/logs, and no per-agent detail lookup beyond the directory listing.
Available Tools
3 toolsclassify_requestIdentify and verify one HTTP requestARead-onlyInspect
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 the client IP, the full request URL and all request headers for the most complete check.
Inputs: ip, url, method, headers, +1 more.
list_known_agentsList known AI agentsARead-onlyInspect
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.
Inputs: agent_class.
scan_siteScan a site for AI-agent readinessARead-onlyInspect
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 prioritised findings with recommendations. Takes a few seconds.
Inputs: domain (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Related MCP Connectors
See what GPTBot, ClaudeBot and other crawlers get from a site: robots.txt checks and AI scans.
Checks whether a website is readable and citable by AI systems (ChatGPT, Claude, Perplexity, etc.)
Free check whether a website is technically open to AI assistants (AI crawlers, llms.txt, JSON-LD).
Website checker for AI coding agents. Measures your site in a real browser, with evidence.
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceEnables users to check any public website's AI crawler access, GEO readiness, and latest public brand mention and citation reports in ChatGPT, Gemini, and Perplexity.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to judge the network exit of the requesting machine or any IP address — residential vs datacenter, purity score, risk-list hits — plus whether a region is in the official support lists for ChatGPT, Claude, Gemini and Meta Muse, and the live status of major services.1MIT
- AlicenseNot gradedqualityFmaintenanceValidates URLs and checks their reputation to help identify AI hallucinations and verify web page authenticity.MIT
- AlicenseAqualityDmaintenanceAudits AI-bot visibility: robots.txt per-bot for 22 AI user-agents (GPTBot/ClaudeBot/PerplexityBot/etc), Cloudflare flags, JSON-LD, sitemap, llms.txt, SPA shell, plus cross-model brand mentions via Perplexity + OpenRouter. 0-100 score. SSRF-guarded, spend-capped.41MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.