Everything here was measured by our prober or read from a registry. Nothing is self-reported.
30-day availability1/1 checks ok
30 days agotoday
Endpoints
https://mcp.gondola.ai/mcpmcp streamable http · checked on a schedule
Registry facts
Not distributed through a package registry we index.
when
check
result
http
latency
detail
4 h ago
mcp initialize
ok
200
143 ms
server gondola 0.1.0-go · protocol 2025-06-18 · 38 tools
Tools observed via MCP handshake
book_hotel — Book a hotel room using a rate from get_hotel_rates. Requires guest details and a saved payment method. Use get_payment_methods to find the payment ID. The gond
book_vehicle — Book a rental vehicle from a search result. Requires a Gondola account and a saved payment method (use get_payment_methods to find the payment ID). The vendor_c
cancel_vehicle_booking — Cancel an existing vehicle booking by its Gondola booking ID. Use this when a user wants to cancel a rental they previously booked.
compare_rates — Compare cash vs points rates and render a side-by-side rate_comparison widget for one or more hotels. Use this whenever the user is making a cash-vs-points deci
create_rate_alert — Create a rate alert to monitor a hotel for price drops. The user will be notified by email when the rate drops. Optionally specify dates, or leave them out to m
credit_card_coverage — Look up rental car CDW/LDW (collision damage waiver / loss damage waiver) coverage provided by a credit card. Useful before booking — tells the user whether the
delete_rate_alert — Delete a rate alert to stop monitoring a hotel for price drops.
diagnose_rates — Diagnose rate availability and per-supplier statuses for a specific hotel. Use this when a power user asks why certain rates aren't showing (e.g. "why is there
get_booking — Get details for a hotel booking made through Gondola, using the Gondola booking ID shown as "Gondola booking" by get_upcoming_trips and get_past_trips. Returns
get_booking_link — Get a booking link for a hotel on Gondola. Use this when a user wants to book a specific hotel. Returns a URL to the hotel's booking page with dates pre-filled.
get_flight_credits — Get the user's active airline flight credits, eCredits, travel funds, vouchers, and travel-bank balances. Returns the airline, remaining usable amount, currency
get_free_night_credits — Get the user's free night certificates — the award nights earned from credit cards and elite status, such as a Marriott Free Night Award, a World of Hyatt free
Declared by sources
What the publisher says
Attributed to the source that supplied each field. Treated as claims, not facts.
No long description beyond the summary.
kind ← Official MCP Registry
name ← Official MCP Registry
repoUrl ← Official MCP Registry
summary ← Official MCP Registry
version ← Official MCP Registry
description ← Official MCP Registry
homepageUrl ← Official MCP Registry
publisherName ← Official MCP Registry
Derived by Wellknown
Capabilities
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
6 h ago · declared · summary → "Travel award search: compare cash vs points on hotels, flights & cars, cents-per-point, and book."
6 h ago · declared · description → "Travel award search: compare cash vs points on hotels, flights & cars, cents-per-point, and book."
6 h ago · declared · publisherName → "ai.gondola"
6 h ago · declared · homepageUrl → "https://www.gondola.ai"
6 h ago · declared · repoUrl → "https://github.com/gondola-ai/gondola-mcp"
6 h ago · declared · version → "0.1.5"
6 h ago · declared · protocols → ["mcp"]
get_hotel_details — Get stored property information for a specific hotel, including its address, description, photos, amenities, room types, policies, fees, ratings, and check-in i
get_hotel_rates — Get current room rates for one hotel and stay window. Returns bookable cash and points options with pricing, cancellation terms, room details, and Gondola rate
get_hotel_reviews — Get guest reviews for a specific hotel. Use this to help a user understand what other guests thought about a property — common complaints, recurring praise, rec
get_hotel_stats — Get pricing percentile context for a specific hotel. Returns where the current rate falls relative to the property's typical pricing (e.g. "this rate is in the
get_loyalty_accounts — Get the user's loyalty program memberships and current point balances. Use this to personalize recommendations (e.g. "with 120k Bonvoy points, this Sheraton is
get_multi_night_rates — Get a rate calendar for a hotel over a date range so you can recommend the cheapest nights. Use this when a user has flexible dates (e.g. "any week in May"). Re
get_past_trips — Get the user's past hotel stays and flights. Use this to answer travel-history questions and make recommendations grounded in behavior (e.g. "you loved the Park
get_payment_methods — List the user's saved payment methods for booking. Returns saved credit/debit cards with their payment IDs, needed for the book_hotel tool.
get_rate_alerts — Get all active rate alerts for the current user. Returns which hotels the user is monitoring for price drops.
get_similar_hotels — Find hotels similar to a given hotel. Use this for branching exploration after a search (e.g. user likes the Park Hyatt Tokyo but wants a cheaper alternative —
get_suggested_searches — Get personalized travel suggestions and trip inspiration for the current user. Returns curated hotel recommendations grounded in the user's preferences, recent
get_suite_upgrade_credits — Get the user's active suite upgrade awards and certificates across loyalty programs. Returns the program, award type, remaining count, and expiration date. Use
get_travel_profiles — Get the user's saved travel profiles — guest name, email, and phone presets. Each profile has a selectable ID you can pass to book_hotel as travel_profile_id to
get_traveler_context — Get the user's saved travel context: loyalty programs and elite tiers, home airport, preferred airlines and cabin, preferred hotel chains, typical trip patterns
get_upcoming_trips — Get the user's upcoming hotel, flight, and rental car reservations. Use this to ground recommendations in real plans (e.g. "your Tokyo trip is May 15-20, want m
get_vehicle_booking — Get details for a specific vehicle booking by its Gondola booking ID. Returns vendor, pickup/dropoff locations and times, vehicle class, rate, and status. Use w
get_vehicle_booking_coverage — Get the rental car CDW/LDW coverage that was stored at booking time for a specific vehicle booking. Use this after a booking to remind the user what coverage th
get_vehicle_booking_link — Get a Gondola.ai deep link for a specific vehicle from search results. Use this to share a booking page URL the user can complete on the web, or as a fallback w
get_vehicle_details — Get detailed information about a specific rental vehicle option. Use this after search_vehicles to get extras, insurance options, charges, and cancellation poli
optimize_loyalty_portfolio — Analyze the user's entire loyalty portfolio and surface the highest-value actions: points expiring soon (ranked by value at risk), the best transfer opportuniti
predict_price — Predict whether the current rate at a hotel is a good deal based on historical price trends. Use this when the user is debating booking now vs. waiting. Returns
search_events — Search for live events by artist, team, show, or event name. Returns factual event discovery details in provider order, including dates, venue, status, optional
search_flights — Search for flights by route and date. Returns cash-priced options ranked for the traveler — weighing their airline loyalty/status and travel history alongside f
search_hotels — Search for hotels by location and dates. Returns a list of matching hotels with cash and points rates and deal scores. To produce a focused cash-vs-points decis
search_vehicles — Search for rental vehicles at an airport or city. Returns available cars sorted by price with vendor, class, and rate details.
update_traveler_profile — Save a learned travel preference or experience to the user's traveler profile. Use when the user shares preferences, likes, dislikes, or trip experiences that s
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