Categories › Web & Browser › Web search engines & search APIs
Audits AI-crawler access, structured data and llms.txt on a site, and drafts the fixes.
Remote server: your requests and data go to mcp.modernmustardseed.com. Claude Code: claude mcp add --transport http ai-search-kit https://mcp.modernmustardseed.com/ai-search-kit · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
audit_ai_readiness — Audit one public web page for what AI answer engines and their crawlers rely on. Reads the page plus its site's robots.txt, llms.txt and sitgenerate_local_business_schema — Turn a local business's facts into schema.org JSON-LD. Chooses the most specific LocalBusiness subtype from business_type (for example "roofgenerate_llms_txt — Write an llms.txt file in the llmstxt.org format: an H1 with the site name, a blockquote summary, optional details, H2 sections of "- [titlecheck_entity_consistency — Compare a business's name, phone, street, city, region and postal code across up to 8 sources, such as its website, Google Business Profile,validate_structured_data — Validate pasted JSON-LD against the schema.org vocabulary (every type, property, domain, range and enumeration value) and Google's documenteNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.