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Monitor AI crawler policies and changes to public site metadata files.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "ActableSite AI Crawler Monitor" MCP server from askskill: Run: claude mcp add --transport http 'com-actablesite-ai-crawler-robots-monitor' 'https://actablesite.com/mcp/'
Check the robots.txt of example.com, determine whether common AI crawlers are allowed or blocked, and summarize the current policy.
A summary of robots.txt rules related to AI crawlers, including what is allowed or blocked.
Continuously monitor the sitemap for example.com, and alert me with a summary when URLs are added, removed, or updated.
Change logs or alerts for the sitemap, helping the user track public site structure updates.
Monitor the llms.txt file for example.com and tell me the exact changes and possible impact whenever it is updated.
An update alert and diff summary for llms.txt, showing how the site's LLM-facing guidance has changed.
Developers or product managers can use it to inspect AI crawler rules in a site's robots.txt and quickly detect changes to public crawling policy.
DevOps teams or site owners can monitor sitemap and llms.txt updates to see whether public page structure or LLM-facing guidance has been modified.
It checks robots.txt policies for AI crawlers and monitors changes to a public site's policy, sitemap, and llms.txt.
Based on the provided description, it watches robots.txt policy, public-site policy, sitemap, and llms.txt changes.
The provided materials do not include installation steps, runtime requirements, or API key details; see the source repository for specifics.
Crawl websites, extract dynamic content, and save structured Markdown files.
Crawl and audit websites for SEO and GEO issues with fixes.
Intelligently crawl and explore websites, then return structured web analysis.
Audit any website’s FIND/READ/USE agent-readiness scores for AEO optimization.
Access SEO data, audits, and keyword-page analysis for smarter optimization.
Audit AI readiness with crawl checks, llms.txt, and structured data tools.