Use case
An AI travel agent needs live data, not confidence
Tool responses built to be read by a model: flat, small, and carrying the context a recommendation needs.
A language model will happily invent a plausible fare, and a user will happily believe it, which is exactly why an agent that books or recommends travel needs a grounded tool call, not a guess. But wiring a data source into an agent has its own failure modes: bulky nested responses that blow up the context window, prices with no way to judge them, and empty results the agent confidently narrates as “no flights exist.” The data layer has to be built for a reader that takes everything literally.
How FlightPowers helps
Built for tool calls from the start
Hosted MCP servers: a URL, not an install
3 first-party MCP servers expose flights and hotels search to any MCP client. Your key goes in a header; usage bills to your own RapidAPI plan. No SDK, no glue service to run.
A verdict the agent can quote
Google's price band and low | typical | high verdict ride on every fare. The agent's “book it now” or “wait” is a field read: traceable, explainable, and never invented.
Paired round-trips in one call
The round-trip endpoint returns one object per itinerary with total_price and both legs already paired. The agent never has to stitch two one-way searches together and hope the combination exists.
Key workflows
From question to grounded answer
- Connect once. Add the MCP server URL with your key, or install the skills: the agent discovers the flight and hotel tools on its own.
- Search as the user speaks. “JFK to Lisbon, sometime in November, under $400” maps to one-way or round-trip calls with real filter parameters: stops, airlines, time windows, max price.
- Ground the recommendation. Quote the fare with its band: the verdict field is the difference between an opinion and a data point.
- Handle empty honestly. Branch on
X-Search-Statusso the agent retries degraded searches and only ever reports “no flights” when that is the verified answer. - Hand off with buy_link. The agent ends the conversation with a link to the exact itinerary on Google Flights: the booking step stays with the user.
Questions, answered plainly
- Does my agent need HTTP code to use this?
- No. Three hosted MCP servers (flights, hotels, and a free ad-supported one) connect any MCP client (Claude, Cursor, and others) with a URL and your RapidAPI key in a header. There are also 8 open-source skills for Claude Code and OpenClaw, and an n8n community node. The REST API is there when you do want to write the call yourself.
- How does the agent know whether a fare is worth booking?
- Every result carries Google’s price_insights_low/high band and a low | typical | high verdict for the route and dates. The agent can say “$480 is low for this route: the usual range is $520–$700” by reading two fields, instead of hallucinating a judgment.
- What happens when there are no flights?
- The X-Search-Status header distinguishes a genuine “empty” (Google really has no itineraries) from a “degraded” search that did not complete. An agent that checks it can honestly answer “there are no flights that day” versus “the search failed, let me retry”, two answers that must never be confused in front of a user.
Give your agent something true to say
Live fares, Google’s own price context, and honest empty-result signalling, over MCP, skills, or plain REST.
Free tier: 10 requests/month. No card to try.