How do I install this?
Set up your Infoseek account to get your app URL, then paste that URL into your preferred AI client.
Run exact Booking.com flight searches from your AI app with one MCP call for route, dates, cabin class, passenger counts, and direct-flight preference.
openai/outputTemplate
Common questions teams ask before integrating Booking.com Flights MCP.
Set up your Infoseek account to get your app URL, then paste that URL into your preferred AI client.
It runs Booking.com flight searches for exact routes and dates, then returns structured results and card-ready output for AI apps and agents.
Searches are live at request time. Prices and availability can change quickly, so rerun before booking.
Required fields are from_airports, to_airports, and departure_date. Add return_date for roundtrip searches.
Yes. One-way searches use departure_date only. Roundtrip includes both departure_date and return_date.
Yes. Call this MCP from a scheduled Codex Agent or workflow and send top options via your email step.
Most requests complete in seconds, depending on route complexity and provider response times.
Yes. Any MCP client that supports tools/list and tools/call can integrate this endpoint.
The public MCP surface is intentionally simple: one Booking.com tool handles the full itinerary search and returns both raw result rows and UI-shaped cards.
Tool
Use this tool for exact Booking.com flight searches with explicit airports and dates. Send one full itinerary per call. For roundtrip searches, include both departure_date and return_date in the same request.
Required inputs
from_airportsto_airportsdeparture_dateUseful optional inputs
return_dateflight_classadults, childrenprefer_directsReturns
results[]countsearchcards[]The MCP returns a search summary, a card list for UI rendering, and underlying result rows. That makes it usable both for direct chat widgets and downstream agent ranking.
cards[]
Best path for UI rendering. Each card includes price, route labels, and a Booking.com URL ready for click-through.
results[]
Rawer flight rows that are useful when your agent wants to rerank, summarize, or compare providers.
search
Compact route and date summary for cards, logs, and fallback summaries.
count
Immediate result cardinality without iterating the whole payload.
{
"count": 5,
"search": {
"route_label": "SEA → BCN",
"date_label": "Nov 11 - Nov 17",
"search_url": "https://www.booking.com/flights/..."
},
"cards": [
{
"id": "booking-flight-card-1",
"price_display": "$666",
"route_label": "SEA → BCN",
"booking_url": "https://www.booking.com/flights/..."
}
],
"results": [
{
"price_display": "$666",
"segments": [],
"booking_url": "https://www.booking.com/flights/..."
}
]
}
The MCP uses standard JSON-RPC methods. The public surface includes tools/list, tools/call, resources/list, and resources/read. The Booking widget is exposed at ui://widgets/booking-flights.
POST /api/mcp/booking
{
"jsonrpc": "2.0",
"id": "1",
"method": "tools/call",
"params": {
"name": "search_flights_booking",
"arguments": {
"from_airports": ["JFK"],
"to_airports": ["LHR"],
"departure_date": "2026-05-01",
"return_date": "2026-05-10",
"flight_class": "business",
"adults": 1
}
}
}
This MCP exposes a standard MCP transport surface. In practice, teams usually consume it through Infoseek routing or a direct MCP client that speaks JSON-RPC and can call tools/list and tools/call.
The widget contract is built in: the tool advertises openai/outputTemplate and returns card-shaped output that can render directly into chat-based AI interfaces.
results[] gives your agent raw Booking.com flight rows for provider-side ranking.cards[] is already shaped for widget UIs and chat surfaces.Run Booking.com alongside Google Flights, Skyscanner, and Skiplagged when your agent needs one provider call per source.
Use exact airport/date queries instead of fuzzy prompts so the model gets a stable flight result payload back.
Render Booking.com results directly from the MCP response without building a second transformation layer in your app.