# Gondola Award Travel Search Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Gondola Award Travel Search

Compare cash vs points on flights, hotels, and rental cars, then book directly.

- Record: https://musedirectory.ai/connector/gondola-award-travel-search
- Category: Travel
- Developer: Gondola (https://www.gondola.ai)
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 419ms, checked 2026-09-28T09:30:48Z
- Endpoint: https://mcp.gondola.ai/mcp
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-09-25T00:26:24Z)
- Source: Found in the official MCP Registry (ai.gondola/gondola) https://registry.modelcontextprotocol.io/v0/servers?search=ai.gondola%2Fgondola

Search and book flights, hotels, and rental cars. Compare cash prices against loyalty points redemptions with cost-per-point analysis. Access airline credits, free night certificates, and loyalty balances to optimize travel spending.

Example request: "Find me a hotel in Tokyo for May 15-20 and show me whether paying cash or using my Marriott points is the better deal."

How to connect: Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Gondola Award Travel Search to help me. It is a free service with an MCP server at https://mcp.gondola.ai/mcp. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Tools:
- book_flight: Book a prepared flight only after the traveler explicitly confirms the exact current quote, total, currency, and consent version. Use the handoff_id and quote_id returned by prepare_flight_booking and a saved payment_id from get_payment_methods. Gondola derives the traveler ID an
- 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 gondola_rate_id comes from the room rates returned by get_hotel_rates.
- 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_code, rate_code, acriss_code, and search_id all come from search_vehicles results.
- cancel_flight_booking: Preview flight cancellation first with confirm=false or omitted. Show the returned itinerary cancellation scope and exact terms before asking the traveler to confirm. A void preview means Gondola will cancel the itinerary first and only then attempt ticket settlement; the amount 
- 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 current canonical cash vs points rates side-by-side for one or more hotels. Use this whenever the user is making a cash-vs-points decision — whether focused on a single hotel ("compare cash and points at Park Hyatt Tokyo") or weighing top picks against each other ("which 
- 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 monitor any two-night stay.
- 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 they can decline the rental company's expensive insurance. Provide EITHER credit_card_product_name (exact card match) OR ca
- 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 no AAA rate?" or "is this hotel mapped to Travelport?"). Returns per-source status and a full breakdown of every rate by
- 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 hotel name, dates, room type, rate, status, and cancellation policy. A hotel or airline confirmation number will not res
- 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. Pass gondola_rate_id when a specific rate is known so the link deep-links straight to that rate's checkout page.
- get_favorite_hotels: Get the hotels the user has saved as favorites in Gondola, newest first. Use this when the user asks about their favorite or saved hotels, or to ground recommendations in places they already like. Returns each hotel's name, hotel_id, chain, address, and the date it was saved. Pas
- get_flight_booking: Get the current owner-scoped state of a Gondola flight booking, including booking, payment, ticketing, action-required, cancellation, ticket settlement, refund-review, failure, and chronology state. Ticket settlement is separate from refunds, customer payouts, credits, and Gondol
- 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, credit type, and expiration date when known. Use this whenever the user asks whether they have unused airline money, c
- get_flight_points: Collect award (miles/points) pricing for a flight search that reported pending_sources. Call this after search_flights when you set points: true and the response came back with pending_sources — those are the loyalty programs still being scraped. Returns per-program results: cash
- 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 night, a Hilton free night reward, an IHG reward night, or a Wyndham Go Free night. Returns each certificate's program, 
- get_hotel_details: Get stored property information for a specific hotel: address, chain and brand, property type, star and guest ratings, all-inclusive and adults-only flags, themes, description, check-in and check-out times and instructions, amenities, photo links, room types with beds, size, max 
- get_hotel_rates: Get live room rates for one hotel and stay window. Rooms are grouped by type (up to 12 shown) with up to three rates each: the cheapest non-refundable, cheapest refundable, and cheapest points award, with nightly and total price, meaningful supplier offer name when available, can
- 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, recent service issues. Returns up to 10 recent reviews with ratings and comments.
- 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 20th percentile — cheaper than 80% of historical observations"). Use this to add objective context to recommendations.
- 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 a great points redemption") and to suggest portfolio optimizations. This covers points balances and elite tiers only — f
- get_multi_night_rates: Get cached, partial rate observations for a hotel over a flexible date range. Use this for seasonality shape and to shortlist candidate check-in dates (e.g. "any week in May"), never to prove a missing date is unavailable. `nights` is the exact stay length and `end_date` is the l
- 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 Hyatt last year", "you've flown United six times this year", "what seats have I taken before?", or "what is my favorite
- 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 — find similar properties). Pass destination when the alternatives should be in a different city. Returns properties match
- 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 searches, popular destinations, and upcoming holidays. Great for open-ended prompts like "where should I go?" or "any tr
- 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 this whenever the user asks about suite upgrades, Nightly Upgrade Awards, Suite Upgrade Awards, Confirmable Upgrade Rewa
- 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 prefill the guest details, mirroring the website checkout where the user picks a saved traveler instead of typing each 
- 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 (business vs leisure, budgets, frequent destinations), plus any preferences they've stated or that have been learned fr
- 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 me to find restaurants?"), check upcoming confirmation numbers, or answer what flights/cars/hotels are already booked. Re
- 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 when a user asks about a rental they've already booked (e.g. "what time is my pickup?", "where do I pick up my Hertz rent
- 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 their card provides on this rental.
- 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 when in-conversation booking via book_vehicle is unavailable. Returns a Gondola checkout link for the selected vehicle; t
- 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 policy for the vehicle the user wants to book.
- 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 opportunities from their transferable card currencies (Amex, Chase, Bilt, etc.) into hotel programs, and their largest balances. Ta
- 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 a confidence-scored label (e.g. "book now", "wait", "prices typically rise") with supporting signals and price history.
- prepare_flight_booking: Prepare a flight for booking from a signed selection_token that comes only from an eligible search_flights row. Search re-shops the selected itinerary instead of trusting a provider-native offer, then returns its current internal booking or referral capability, including any reco
- 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 approximate listed price range, and the canonical event page. Prices are provider-supplied discovery metadata, not live

Screening checks:
- MCP handshake: pass (Answered in 217ms)
- Domain against threat feeds (Cloudflare security DNS): pass (mcp.gondola.ai, www.gondola.ai not flagged)
- Published packages against the OSV malicious-package database: n/a (No npm or PyPI package published)
- Hidden instructions or invisible characters in tool text: warn (search_flights: Tool text tells the model to take extra steps)
- Inputs asking for passwords, card numbers or seed phrases: pass (None found)
- Domain and redirects: pass (No redirects off the domain)
- AI review of purpose and tool behavior: pass (No concerns)