Categories › Web & Browser › Scraping, crawling & page-to-text
AI-agent readiness of business websites: scans, city indexes, assistants' answers, direct links.
Remote server: your requests and data go to directindex.org. Claude Code: claude mcp add --transport http scanner https://directindex.org/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
scan_website — Scan a business website and return its Agent-Direct Score (0 to 100), grade, findings and fixes. Reuses a scan under 24 hours old; otherwiseget_site_report — Return the latest Agent-Direct report for a domain that has already been scanned, including findings, fixes and agent-discoverability checkscity_leaderboard — Businesses in a city index ranked by Agent-Direct Score, with grade, menu format, direct channel and whether AI crawlers are blocked.find_direct_places — Places in a city that take a booking or an order on their own website, best Agent-Direct Scores first, with the direct booking or ordering lmenu_prices — What things cost on restaurant menus in a city: the middle price, and the middle half of prices, of an espresso, a cappuccino, a beer, a glalist_cities — List the city indexes that exist, with counts and status.order_deep_report — Order the paid deep report (5 EUR, one-off) for a business in a city index: ChatGPT, Claude and Gemini are asked ten questions about it the get_deep_report — Status of a deep report order by its token, and the finished report itself as Markdown once it is done (every answer in full, the table of wwhat_assistants_say — What ChatGPT, Claude and Gemini answer about one business: the latest verdict per question (official website, where to book, where to order:assistant_recommendations — The places ChatGPT, Claude and Gemini name in a city when asked the way people ask ('best pizza delivered right now', 'book me a table for Sassistant_destinations — Where the assistants send people in a city: the league table of destinations (the businesses' own sites, each marketplace and directory by ncompare_cities — Two city indexes side by side: business websites scanned, the share that take a booking or an order on their own site, the share that turn acountry_summary — A country's indexes added together (ISO code, for example PT or DE): sites scanned, direct share, crawler-blocked share, A-or-B share, the crankings — Every city index of a kind ranked on three measures with its sample size and date: direct share (a booking or ordering path on the business'search_places — Find businesses in the city indexes by name (within a city) or domain (from any city), filtered by city, kind, grade, builder, booking or ordirect_record — The direct record of a business: the booking, ordering and menu links an agent should use instead of a marketplace, where each leads (the buvendor_report — A booking or ordering vendor across the index: software on the vendor's domain or a marketplace, booking or ordering, how many sites use it,city_facts — What a city index's websites say, compared with every index of the same kind: the share of listed businesses with no web address, only a soccity_changes — What changed in a city index over the last days: findings fixed or new, grades up or down, AI crawlers turned away or let in, direct bookingvendor_terms — Whether a booking or ordering vendor's terms let an AI agent book or order through it: allowed, partners only, banned, or not stated; with tNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.