Google Flights MCP

ai.wondel/google-flightsVersion 1.0.0

Live Google Flights fares: search routes, discover cheap deals from an origin.

Status

Responds427 msNov 14, 2026, 13:49 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 13:49 UTC
Latency: 427 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

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Connect

Streamable HTTP

https://mcp.wondel.ai/google-flights/mcpResponds427 msNov 14, 2026, 13:49 UTC

No sign-in

Claude Code

claude mcp add --transport http google-flights https://mcp.wondel.ai/google-flights/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: google-flights
Remote MCP server URL: https://mcp.wondel.ai/google-flights/mcp

Cursor

{
  "mcpServers": {
    "google-flights": {
      "url": "https://mcp.wondel.ai/google-flights/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"google-flights","type":"http","url":"https://mcp.wondel.ai/google-flights/mcp"}'

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Tools

2 tools

Tools of Google Flights MCP
	Description		Read-only	Idempotent	Open world
`google_flights_deals_search`Discover cheap flight destinations from an origin via SerpAPI's Google Flights Deals engine (google_flights_deals). Unlike google_flights_search there is no arrival_id — the engine explores destinations for you — and there are no pagination or navigation tokens. Dates accept a single YYYY-MM-DD or a 'start,end' range (e.g. '2026-06-27,2026-07-03') to widen the window. Supports round trip (type=1, needs return_date) and one way (type=2). Prices are in `currency` (default USD). Result shape: { source, fetchedAt, query, search_metadata, search_parameters, departure_informations, deals: [...] } — the list key is `deals` (there are no best_flights/other_flights here). Each deal: { destination_id, name, country, price, average_price, discount_percentage, flight_link, serpapi_flight_link, thumbnail, outbound_date, return_date, departure_airport_code, arrival_airport_code, flight_duration, stops, airline, airline_code, description, highlights }. The dates are `outbound_date` / `return_date` (YYYY-MM-DD) — the live engine returns those, not the `start_date`/`end_date` of SerpAPI's docs — and a deal carries NO departure or return time.	Discover cheap flight destinations from an origin via SerpAPI's Google Flights Deals engine (google_flights_deals). Unlike google_flights_search there is no arrival_id — the engine explores destinations for you — and there are no pagination or navigation tokens. Dates accept a single YYYY-MM-DD or a 'start,end' range (e.g. '2026-06-27,2026-07-03') to widen the window. Supports round trip (type=1, needs return_date) and one way (type=2). Prices are in `currency` (default USD). Result shape: { source, fetchedAt, query, search_metadata, search_parameters, departure_informations, deals: [...] } — the list key is `deals` (there are no best_flights/other_flights here). Each deal: { destination_id, name, country, price, average_price, discount_percentage, flight_link, serpapi_flight_link, thumbnail, outbound_date, return_date, departure_airport_code, arrival_airport_code, flight_duration, stops, airline, airline_code, description, highlights }. The dates are `outbound_date` / `return_date` (YYYY-MM-DD) — the live engine returns those, not the `start_date`/`end_date` of SerpAPI's docs — and a deal carries NO departure or return time.	Not declared	Not declared	Not declared	Not declared
`google_flights_search`Search Google Flights live via SerpAPI. Returns best_flights and other_flights (each with legs, airlines, times, duration, layovers, price and carbon emissions), plus price_insights and airport info. Supports round trip (type=1, needs return_date), one way (type=2) and multi-city (type=3 via multi_city_json). Two-step flows: pass a departure_token from a prior result to get the returning flights / next leg, or a booking_token to get booking options — re-send the original search params alongside either token. Prices are in `currency` (default USD). IDs are AIRPORT codes, never city/metro codes: TYO, NYC, LON, PAR, MIL, ROM, OSA, CHI, WAS return NO results (live-verified) — send the airports instead (TYO → 'HND,NRT'; NYC → 'JFK,EWR,LGA'; LON → 'LHR,LGW,STN,LTN'; PAR → 'CDG,ORY'; MIL → 'MXP,LIN,BGY'; ROM → 'FCO,CIA') or the city's Google kgmid (e.g. '/m/07dfk' for Tokyo). Result shape: { note?, source, fetchedAt, query, search_metadata: { google_flights_url }, search_parameters, best_flights: [...], other_flights: [...], price_insights, airports } — the two itinerary lists are `best_flights` and `other_flights` (there is no `flights` or `deals` key at the top level, and an itinerary is never a bare flight). Each itinerary: { flights: [{ departure_airport: { name, id, time }, arrival_airport: { name, id, time }, duration, airplane, airline, airline_logo, travel_class, flight_number, legroom, extensions }], layovers: [{ duration, name, id, overnight }], total_duration, carbon_emissions, price, type, airline_logo, departure_token, booking_token } — `price` is the whole-itinerary price in `currency`, `duration`/`total_duration` are minutes, and the per-leg times are local 'YYYY-MM-DD HH:MM' strings. Feed `departure_token` back for the return leg and `booking_token` for booking options. A top-level `note` appears only when stops=1 found no nonstop flight and the server retried without the stop filter: the itineraries are then connecting flights, and their tokens need the sa	Search Google Flights live via SerpAPI. Returns best_flights and other_flights (each with legs, airlines, times, duration, layovers, price and carbon emissions), plus price_insights and airport info. Supports round trip (type=1, needs return_date), one way (type=2) and multi-city (type=3 via multi_city_json). Two-step flows: pass a departure_token from a prior result to get the returning flights / next leg, or a booking_token to get booking options — re-send the original search params alongside either token. Prices are in `currency` (default USD). IDs are AIRPORT codes, never city/metro codes: TYO, NYC, LON, PAR, MIL, ROM, OSA, CHI, WAS return NO results (live-verified) — send the airports instead (TYO → 'HND,NRT'; NYC → 'JFK,EWR,LGA'; LON → 'LHR,LGW,STN,LTN'; PAR → 'CDG,ORY'; MIL → 'MXP,LIN,BGY'; ROM → 'FCO,CIA') or the city's Google kgmid (e.g. '/m/07dfk' for Tokyo). Result shape: { note?, source, fetchedAt, query, search_metadata: { google_flights_url }, search_parameters, best_flights: [...], other_flights: [...], price_insights, airports } — the two itinerary lists are `best_flights` and `other_flights` (there is no `flights` or `deals` key at the top level, and an itinerary is never a bare flight). Each itinerary: { flights: [{ departure_airport: { name, id, time }, arrival_airport: { name, id, time }, duration, airplane, airline, airline_logo, travel_class, flight_number, legroom, extensions }], layovers: [{ duration, name, id, overnight }], total_duration, carbon_emissions, price, type, airline_logo, departure_token, booking_token } — `price` is the whole-itinerary price in `currency`, `duration`/`total_duration` are minutes, and the per-leg times are local 'YYYY-MM-DD HH:MM' strings. Feed `departure_token` back for the return leg and `booking_token` for booking options. A top-level `note` appears only when stops=1 found no nonstop flight and the server retried without the stop filter: the itineraries are then connecting flights, and their tokens need the sa	Not declared	Not declared	Not declared	Not declared

Details

Registry status: Active
Published: Nov 2, 2026
Updated: Nov 2, 2026
Website: https://mcps.wondel.ai/servers/google-flights/⁠ (opens in a new tab)
Repository: Not given
Categories (suggested): CRMSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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