Comprehensive Model Context Protocol server for managing Home Assistant through AI assistants.
Gondola is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Book hotels and rental cars, triple stacking loyalty points, credit card points, and Gondola Cash.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http gondola-mcp https://mcp.gondola.ai/mcp
# 2 — ask your agent for something these tools do
# search_hotels, get_hotel_details, compare_rates and 26 more
Gondola costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it. Its publisher asks you to sign in with OAuth: run /mcp in Claude Code and pick this server, and it opens a browser for that once.
claude mcp add --scope user --transport http gondola-mcp https://mcp.gondola.ai/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
29 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Search for hotels by location and dates with cash AND points pricing. Returns hotels with side-by-side cash vs points rates, cents-per-point (CPP) valuation, and deal scores so you can recommend the best value. This is Gondola's unique advantage — no other travel search shows both cash and points rates together. Args: location: City name, address, or area to search (e.g.
No parameter schema on file.
Get detailed information, room types, and rates for a specific hotel. Use this after search_hotels to get full details for a hotel the user is interested in. Returns room options with pricing, cancellation policies, and amenities. Args: hotel_id: The hotel's Vervotech property ID (returned by search_hotels). checkin: Check-in date in YYYY-MM-DD format. checkou
No parameter schema on file.
Compare cash vs points rates across multiple hotels side-by-side. Use this after search_hotels to help a user decide between their top hotel picks. Returns a comparison table with cash rate, points rate, CPP valuation, and value signals for each hotel, highlighting the best cash value and best points value. Args: hotel_ids: List of hotel IDs to compare (max 5). Get these
No parameter schema on file.
Get booking options for a hotel. Returns a link to Gondola's checkout for this hotel, where the traveler reviews the room and completes payment on the web. This is the booking path for this connection. (Connections belonging to an approved booking partner — which requires the mcp:book OAuth scope — additionally get an in-conversation option here. If you don't see booking tools in
No parameter schema on file.
Get all active rate alerts for the current user. Returns the user's rate alerts showing which hotels they're monitoring for price drops. Requires a Gondola account with an API key. Returns: List of active rate alerts with hotel names, dates, and current rates.
No parameter schema on file.
Get the user's upcoming trips including hotel stays, flights, and car rentals. Returns a summary of all upcoming travel reservations with dates, confirmation numbers, status, costs/rates, loyalty earnings, savings opportunities, AutoSave signals, flight segment details, miles redeemed, refundability/cancellation timing, and flight seat assignments when Gondola parsed real row+lett
No parameter schema on file.
Get the user's past trips including hotel stays and flights. Returns a summary of past travel reservations with dates, confirmation numbers, status, costs, loyalty programs, routes, airlines, ticket class, miles redeemed, and historical flight seat assignments when Gondola parsed real row+letter seats from airline emails. Use this for trip-history questions, including favorite hot
No parameter schema on file.
Get the user's hotel and airline loyalty accounts with points balances and values. Returns all linked loyalty accounts including current points balance, tier status, estimated cash value, recent points changes, and expiration dates. Requires a Gondola account (API key). Returns: Formatted list of loyalty accounts with balances and values, or instructions to connect.
No parameter schema on file.
Get the user's free night certificates (award nights) across loyalty programs. Returns each certificate's program, how many remain, what it covers, when it expires, and whether a points top-up is allowed. Requires a Gondola account (API key). Returns: Formatted list of free night certificates, or instructions to connect.
No parameter schema on file.
Predict whether now is a good time to book a hotel, or if the user should wait for a better price. Uses historical price data and trends to assess whether the current price is a good deal. Call this when a user asks "Should I book now or wait?" or wants to know if a price is good. Args: hotel_id: The hotel's Vervotech property ID (from search results). checkin: Check-
No parameter schema on file.
Get pricing analytics and percentile data for a hotel rate. Use this to help users understand if a rate is a good deal. Shows how the cash rate and points redemption value compare historically across the chain. Args: hotel_id: The hotel's Vervotech property ID (from search results). nightly_cash_cost: The current nightly cash rate. nightly_cash_cost_currency:
No parameter schema on file.
Get a rate calendar showing prices across a date range for a hotel. Use this when a user has flexible dates and wants to find the cheapest time to stay. Shows cash rates, points rates, and value percentiles for each available check-in date. Args: hotel_id: The hotel's Vervotech property ID (from search results). start_date: Start of date range in YYYY-MM-DD format.
No parameter schema on file.
Find hotels similar to one the user is looking at. Use this when a user wants alternatives, comparisons, or asks "show me hotels like this one." Args: hotel_id: The hotel's Vervotech property ID (from search results). checkin: Check-in date in YYYY-MM-DD format. checkout: Check-out date in YYYY-MM-DD format. num_adults: Number of adult guests (default: 2).
No parameter schema on file.
Analyze the user's whole loyalty portfolio and surface the highest-value actions. Trip-independent. Looks across every loyalty program the user holds — plus the transferable card currencies (Amex, Chase, Bilt, etc.) that can feed hotel programs — and reports points expiring soon (ranked by value at risk), the best transfer opportunities, and the largest balances. When the user's t
No parameter schema on file.
Search for flights by route and date and return cash-priced options. Results are ranked for the traveler by the search backend — weighing their airline loyalty/status and travel history alongside flight quality — and returned 10 per page. To see more options, call again with `page=2, page=3`, and so on. Args: origin: Origin airport code or city (e.g. "LAX", "SFO", "
No parameter schema on file.
Search live events and return factual event, venue, date, and listed-price metadata.
No parameter schema on file.
Search for rental vehicles at an airport or city. Args: pickup_location: Airport IATA code (e.g. "LAX", "JFK", "SFO"). pickup_datetime: Pickup date and time in ISO format (e.g. "2025-03-15T10:00:00"). dropoff_datetime: Drop-off date and time in ISO format (e.g. "2025-03-20T10:00:00"). vehicle_class: Optional preference: Economy, Compact, Standard, FullSize, Pre
No parameter schema on file.
Get detailed information about a specific rental vehicle option. Use this after search_vehicles to get extras, insurance options, charges, and cancellation policy. Args: vendor_code: Vendor code from search results (e.g. "ZE" for Hertz, "AL" for Alamo). rate_code: Rate code from search results. search_id: Search ID from the vehicle search results. acriss_c
No parameter schema on file.
Get details for a specific vehicle booking. Args: booking_id: The Gondola booking ID (confirmation number). Returns: Vehicle booking details including vendor, pickup/dropoff, vehicle, rate, and status.
No parameter schema on file.
Get a Gondola.ai deep link for a specific vehicle from search results. Returns a link to Gondola's checkout for this vehicle, where the traveler reviews the rate and completes the reservation on the web. This is the booking path for this connection. (Connections belonging to an approved booking partner — which requires the mcp:book OAuth scope — additionally get an in-conversatio
No parameter schema on file.
Look up rental car CDW/LDW coverage provided by a credit card. Provide EITHER credit_card_product_name OR card_number_bin + card_provider. Args: credit_card_product_name: Exact card product name (preferred when known). card_number_bin: First 6-8 digits of the card number (BIN). card_provider: Card network ("visa", "mastercard", "amex", or "discover"). Required wit
No parameter schema on file.
Get the rental car CDW/LDW coverage stored at booking time for a vehicle booking. Args: booking_id: The Gondola booking ID of the vehicle booking. Returns: Coverage details stored on the booking, or an error message.
No parameter schema on file.
Get guest reviews for a specific hotel. Use this to help users understand what other guests thought about a hotel. Returns up to 10 recent reviews with ratings and comments. Args: hotel_id: The hotel's Vervotech property ID (from search results). Returns: Formatted list of guest reviews with author names, ratings, and review text.
No parameter schema on file.
Get personalized travel suggestions and trip inspiration. Returns curated hotel recommendations based on the user's preferences, recent searches, popular destinations, and upcoming holidays. Great for when the user doesn't know where to go. Returns: Travel suggestions with preview hotel results.
No parameter schema on file.
Get details for a specific hotel booking. Args: booking_id: The booking ID or confirmation number. Returns: Booking details including hotel, dates, room, rate, and status.
No parameter schema on file.
Diagnose rate availability and source statuses for a specific hotel. Use this to investigate why certain rates (e.g. AAA, member, points) are or aren't showing for a property. Shows per-supplier status and a full breakdown of every rate by type. Args: hotel_id: The hotel's Vervotech property ID. checkin: Check-in date in YYYY-MM-DD format. checkout: Check-
No parameter schema on file.
Get the user's saved travel profiles (guest name, email, and phone presets). Each profile has a selectable Profile ID, which prefills the guest name, email, and phone at checkout so the traveler doesn't re-enter them to prefill the guest details — the same "book as <traveler>" selection the website checkout offers — instead of collecting name, email, and phone field by field.
No parameter schema on file.
Get the user's saved travel context to personalize recommendations. Returns the user's loyalty programs and elite tiers, home airport, preferred airlines and cabin, preferred hotel chains, typical trip patterns (business vs leisure, budgets, frequent destinations), and any preferences they've stated or that have been learned from past conversations. Call this once at the start of
No parameter schema on file.
Save a learned travel preference or experience to the user's traveler profile. Use when the user shares a durable preference, like, dislike, or trip experience that should inform future recommendations — "Always takes a window seat", "Prefers boutique hotels over chains", "Vegetarian". Don't save temporary logistics like "my flight lands at 3pm". Saved entries come back from get_
No parameter schema on file.
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Gondola or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.29.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Gondola can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.