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ai.autonomad/travel

REMOTE · MCP.AUTONOMAD.AI · 2 COMPONENTS · SCANNED AUG 3

AI travel agent — book flights, hotels, activities, and events worldwide via autonomad.ai.

+7 this week 71 Trust /100
Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score →

Endpoint Security74
Transport & Reachability100
Schema Quality & AI Usability69
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 1889 tokens (~188/item across 10 items; 8 tools + 2 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
  • Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage82
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 45% of tool parameters carry a description.Partial
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

remote · mcp.autonomad.ai

# add to Claude Code
claude mcp add --transport http ai-autonomad-travel https://mcp.autonomad.ai/mcp
# ~/.codex/config.toml
[mcp_servers.ai-autonomad-travel]
url = "https://mcp.autonomad.ai/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-autonomad-travel": {
      "type": "remote",
      "url": "https://mcp.autonomad.ai/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ai-autonomad-travel --url https://mcp.autonomad.ai/mcp --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  ai-autonomad-travel:
    url: "https://mcp.autonomad.ai/mcp"
// mcp.json
{
  "mcpServers": {
    "ai-autonomad-travel": {
      "type": "http",
      "url": "https://mcp.autonomad.ai/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 3 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

  • 1 Aug 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

  • 31 Jul 26 +3
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 30 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 29 Jul 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

  • 28 Jul 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

  • 27 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Jul 26 64

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Probed https://mcp.autonomad.ai/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=mcp.autonomad.ai CN=YE1,O=Let's Encrypt,C=US 7 Jul 2026 5 Oct 2026 ECDSA 256 ECDSA-SHA384 5abe60ddc63ca816f3c115ec87156b6b32a
SANs: mcp.autonomad.ai
CN=YE1,O=Let's Encrypt,C=US (CA) CN=Root YE,O=ISRG,C=US 3 Sept 2025 2 Sept 2028 ECDSA 384 ECDSA-SHA384 5ddd70dd31f801c85c186a7a04b80afe
CN=Root YE,O=ISRG,C=US (CA) CN=ISRG Root X2,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 ECDSA-SHA384 872165fc34b6e5fba8add5b3705fb53a
CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) CN=ISRG Root X1,O=Internet Security Research Group,C=US 13 May 2026 2 Sept 2032 ECDSA 384 SHA256-RSA 6c8f1dc727c7117f7baf853ac980f9cd
DNSSEC insecure

Validation of mcp.autonomad.ai. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 3799 8 Verified
autonomad.ai. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200
Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://mcp.autonomad.ai/mcp Verified 200
http (plaintext) http://mcp.autonomad.ai/mcp HTTPS enforced 301 https://mcp.autonomad.ai/mcp
MCP tools — 8 exposed · ~1,854 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens
create_booking_intent ~724

Create a booking intent — returns a deep-link the user clicks to complete the booking on autonomad.ai. The first booking they complete unlocks a 1-month free Autonomad Premium trial automatically. ALWAYS call this instead of trying to book directly through MCP — bookings require payment + identity verification that must happen on the web. WHEN TO CALL — generate a deep-link ONLY after the user has picked something concrete: a specific flight, a specific hotel, or both (a trip). Do NOT call this for browsing or for activities/events alone. Activities and events are picked on the autonomad.ai add-ons page AFTER the user lands via the deep-link — Claude should describe them but not generate per-activity/per-event intents. INTENT TYPE GUIDE — pick exactly one: - 'flight' → user picked a flight only. offer_data = the flight offer object verbatim from search_flights, PLUS a top-level `passengers: <number>` field (the number of travelers the user originally requested — search_flights individual offers don't echo this back, so you must add it explicitly). - 'hotel' → user picked a hotel only. offer_data = the hotel offer from search_hotels PLUS top-level `check_in` and `check_out` (YYYY-MM-DD) as STRINGS. CRITICAL: search_hotels does NOT echo dates back inside the offer object — you MUST add them yourself (use the same dates you passed to search_hotels) or the booking page will fall back to an empty form and the user will have to re-enter everything. Also include `adults: <number>` and `rooms: <number>`. - 'trip' → user picked BOTH a flight AND a hotel together for the same trip. Pack them in offer_data as { flight: { ...offer, passengers: <n> }, hotel: { ...offer, adults: <n>, rooms: <n>, check_in, check_out } }. ONE deep-link covers both. Don't generate two separate intents (flight + hotel) for the same trip — that produces two deep-links and a confusing user experience. For activities, events, and experience browsing: describe what's available in your reply, but d…

NameTypeReqDescription
expires_minutesnumber
intent_typestringyes
offer_dataobjectyes

No output schema declared.

No examples provided.

get_capabilities ~51

Return the server's version, mode (human vs autonomous-agent), API base, and the list of currently-exposed tools. Useful for the LLM to confirm tool-schema compatibility before issuing a sequence of calls.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

search_activities ~137

Search tours, experiences, attractions, sightseeing, and things to do via Viator (200K+ activities worldwide). Filter by city, date range, and category (food tours, walking tours, museums, snorkeling, sailing, hiking, sunset cruises, cooking classes, day trips, etc.). Returns activities with photos, ratings, durations, and per-person pricing. Use this when the user wants to plan day activities, find tours, book experiences, fill a trip itinerary, or pick attractions.

NameTypeReqDescription
categorystring
citystringyes
date_fromstringyes
date_tostring

No output schema declared.

No examples provided.

search_dining ~145

Search restaurants and dining options by city, date, time, cuisine, party size, neighborhood, and price range. PLANNING ONLY — this returns restaurant details and indicative availability; Autonomad does not place reservations, and the user completes any booking with the restaurant directly. Use this when the user wants to find, compare, or shortlist somewhere to eat on a trip.

NameTypeReqDescription
citystringyes
cuisinestring
datestringyesYYYY-MM-DD
neighborhoodstring
party_sizenumber
price_rangestring
timestringHH:MM in 24h

No output schema declared.

No examples provided.

search_events ~131

Search live events, concerts, sports games, theater, comedy, and shows in a city (Ticketmaster + SeatGeek catalog). Filter by city, date range, category (music / sports / arts / theater / family / comedy), and keyword (artist name, team name, show title). Use this when the user wants tickets to a concert, a sports game, a Broadway show, or any live event during their trip.

NameTypeReqDescription
categorystring
citystringyes
date_fromstringyes
date_tostring
keywordstring

No output schema declared.

No examples provided.

search_flights ~243

Search airline flights / airfares between two cities by date, cabin class (economy / premium economy / business / first), and number of passengers. Returns available flights from 800+ airlines (Duffel) with real-time pricing, schedules, and stops. Uses IATA airport codes (e.g., MIA, JFK, LAX, LHR). Use this when the user wants to book a flight, fly somewhere, find airfare, or compare airlines.

NameTypeReqDescription
cabin_classstringCabin class (default: economy)
departure_datestringyesDeparture date (YYYY-MM-DD)
destinationstringyesIATA destination airport code
max_price_usdnumberMaximum total price in USD
nonstop_onlybooleanOnly show nonstop flights (default: false)
originstringyesIATA origin airport code (e.g., 'MIA', 'JFK', 'LAX')
passengersnumberNumber of passengers (1-9, default: 1)
return_datestringReturn date for round-trip (YYYY-MM-DD). Omit for one-way.

No output schema declared.

No examples provided.

search_hotels ~253

Search hotels, lodging, accommodations, resorts, and places to stay for a trip. Filter by city, country, check-in/check-out dates, room type, nightly price, star rating, and amenities (pool, gym, wifi, etc.). Returns matching properties with rates, photos, and availability across 2M+ properties (LiteAPI). Use this when the user wants to book a hotel, find a place to stay, compare lodging options, or pick a resort.

NameTypeReqDescription
amenitiesarrayRequired amenities (wifi, gym, pool, spa, restaurant, etc.)
brandstringHotel brand name to filter by
check_instringyesCheck-in date (YYYY-MM-DD)
check_outstringyesCheck-out date (YYYY-MM-DD)
citystringCity name (e.g., 'New York', 'Tokyo')
countrystringISO 3166-1 alpha-2 country code (e.g., 'US', 'JP')
max_rate_usdnumberMaximum nightly rate in USD
min_star_ratingnumberMinimum star rating (1-5)
room_typestring

No output schema declared.

No examples provided.

search_transport ~170

Search ground transportation — rideshare (Uber, Lyft) and car rental (Hertz, Enterprise, Avis, etc.) — timed to a flight arrival for door-to-door planning. NOTE: these return indicative quotes for planning only; in-app booking is not yet live (rideshare and car-rental supplier integrations are still in progress). Use this when the user wants to scope a rental car, an airport transfer, or rideshare to/from their hotel.

NameTypeReqDescription
citystringyesCity or metro area
dropoff_locationstring
passengersnumber
pickup_datetimestringISO 8601
pickup_locationstring
return_datetimestring
transport_typestring
vehicle_typestring

No output schema declared.

No examples provided.