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Knocklog

io.github.leonlesenechal/knocklog · v1.0.1

See how a website treats AI agents, and check whether a ChatGPT, Claude or Perplexity visit is real.

Connect Remote server

Terminal
claude mcp add --transport http knocklog https://api.knocklog.ai/mcp/directory
~/.cursor/mcp.json
{
  "mcpServers": {
    "knocklog": {
      "url": "https://api.knocklog.ai/mcp/directory"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "knocklog": {
      "type": "http",
      "url": "https://api.knocklog.ai/mcp/directory"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://api.knocklog.ai/mcp/directory

Tools 3 found in our last check

  • 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…

  • 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://knoc…

  • 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.

Details

Endpointhttps://api.knocklog.ai/mcp/directory (Streamable HTTP)
First published9 Nov 2026
Last updated9 Nov 2026
Registry nameio.github.leonlesenechal/knocklog

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