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by directindex.org in Other
AI-agent readiness of business websites: scans, city indexes, assistants' answers, direct links.
https://directindex.org/mcp- Tools
- 20
- open to any client
- Uptime
- 100%
- last 30 days
- Response time
- 338 ms
- 541 ms slowest 5%
- Last check
- Passed
- 5 h ago, next in 48 min
Reliability
Status and outage history · Atom feed · Watch with other listings
How to connect
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"scanner": {
"type": "http",
"url": "https://directindex.org/mcp"
}
}
}20 tools
- 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; otherwise runs one, which takes 10 to 40 seconds.
- get_site_report
Return the latest Agent-Direct report for a domain that has already been scanned, including findings, fixes and agent-discoverability checks.
- city_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 link for each (the owner's corrected link where the business is claimed), the vendor behind it, verified_at when a browser reached the step…
- menu_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 glass of wine, a margherita, a burger, a main course, a lunch offer, a cola and a bottle of still water, read from the menus on restaurants'…
- list_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 way people ask, every answer is kept in full with where it sent people, plus the nearest similar places, the fix plan with the kit to…
- 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 where answers sent people, the nearest similar places, the fix plan and the kit).
- what_assistants_say
What ChatGPT, Claude and Gemini answer about one business: the latest verdict per question (official website, where to book, where to order: own site, vendor, marketplace, directory, no link), the answers quoted, the questions people ask for which the business was named, and one…
- 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 Saturday'): per question, the places named, which assistant named each, whether with a link to the place's own site, and the direct booking…
- assistant_destinations
Where the assistants send people in a city: the league table of destinations (the businesses' own sites, each marketplace and directory by name, press and guides, other sites) with the share of answers that link each one, per assistant and overall, and the headline shares…
- compare_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 an AI crawler away, the share scoring A or B, grades, menus, channels, builders, vendors, the assistants' direct share where probed, and the…
- country_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 cities with their numbers, the kinds, the vendors common in the country. Without a code: every country with an index. Pages…
- rankings
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's own domain), crawler-open share (not turned away at the edge) and A-or-B share. Indexes with fewer than 100 scanned sites are listed…
- search_places
Find businesses in the city indexes by name or domain, filtered by city, kind, grade, builder, booking or ordering vendor and finding (for example menu_pdf, edge_blocks, no_structured, booking_marketplace). Fifty results a page, best Agent-Direct Scores first, each with its…
- direct_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 business's own site or a named vendor), whether and when a browser verified it, the hours (OpenStreetMap form and schema.org, with open_now)…
- vendor_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, their average score and A or B share, how the browser action test went on them, the cities, example sites, and the vendor's terms for…
- 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 social profile or their own site; the share of sites that turn an AI crawler away, publish a readable menu, take bookings or orders directly…
- city_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 booking or ordering channels and vendors gained or lost, and assistants that changed their answer about a business. Each change links the…
- vendor_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 the vendor's own page and the date the terms were read. Without a vendor: every researched vendor. Use it before sending a person to book or…
Security scan
No findings
We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 5 h ago | Passed | 200 | 479 ms |
| 15 h ago | Passed | 200 | 174 ms |
| 25 h ago | Passed | 200 | 384 ms |
| 35 h ago | Passed | 200 | 106 ms |
| 45 h ago | Passed | 200 | 194 ms |
Show 10 older checks
| 2 days ago | Passed | 200 | 113 ms |
| 3 days ago | Passed | 200 | 173 ms |
| 3 days ago | Passed | 200 | 365 ms |
| 3 days ago | Passed | 200 | 455 ms |
| 4 days ago | Passed | 200 | 301 ms |
| 4 days ago | Passed | 200 | 398 ms |
| 5 days ago | Passed | 200 | 170 ms |
| 5 days ago | Passed | 200 | 441 ms |
| 5 days ago | Passed | 200 | 865 ms |
| 6 days ago | Passed | 200 | 369 ms |