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Search flights, hotels, and plan trips without API keys for AI agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "FlightFinder" yet — see the docs or source repo.
Use FlightFinder to search flights from Shanghai to Singapore next week and organize the results by price and departure time.
A list of matching flights, organized by price and departure time.
Use FlightFinder to search for bookable hotels in central Tokyo next month and list their names and basic details.
Searchable hotel results with hotel names and basic details.
Use FlightFinder to plan a weekend trip search for Bangkok, including round-trip flight and hotel search suggestions.
A brief trip planning suggestion based on flight and hotel searches.
Developers can connect FlightFinder as an MCP tool for AI agents so an assistant can search flights, hotels, and help plan trips. This brings travel lookup into a conversational workflow.
Researchers, office workers, or students preparing for travel can use it to search flights and hotels in one place. This helps them gather options faster with less manual site switching.
When a team wants basic travel search without configuring API keys, FlightFinder provides both a Python client and an MCP server. It fits prototyping and lightweight automation use cases.
It is a Python client for searching flights and hotels, with an MCP server for AI agents, and it can also help plan trips.
Based on the provided description, it is designed to search flights and hotels without API keys. For detailed limitations or implementation details, see the source repository.
The provided material only says it is a Python client with an MCP server and does not include setup steps. See the source repository for installation and runtime instructions.
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Search flights, compare itineraries, view booking options, and track usage.