Flights MCP Server

Flights MCP Server – A Conversational Flight Search Engine

The Flights MCP server solves a common pain point for developers building AI‑powered travel assistants: pulling accurate, up‑to‑date flight data into a natural language dialogue without exposing the complexity of the underlying API. By leveraging the Duffel flight search service, this MCP allows Claude (or any compliant AI assistant) to perform sophisticated queries—such as multi‑city itineraries, flexible date ranges, and cabin‑class filtering—directly from the chat. The result is a seamless “travel agent in your pocket” experience where users can simply describe their travel needs and receive instant, actionable flight offers.

What the server does is essentially a thin wrapper around Duffel’s search endpoints. It exposes several resource types that mirror real‑world flight concepts: offers, itineraries, and connections. Each resource can be queried with a rich set of parameters—departure and arrival airports, travel dates (including ranges), passenger counts, cabin class, and even preferred departure times. The server then returns structured data that Claude can interpret, display, or use in follow‑up prompts. Because the MCP is read‑only, developers can safely integrate it into public or shared environments without worrying about accidental bookings or charges.

Key capabilities include:

• Multi‑destination search: Find flights between any combination of airports, supporting one‑way, round‑trip, and multi‑city itineraries.
• Flexible date handling: Query across a span of days to surface the cheapest or fastest options, with optional constraints on departure times.
• Detailed offer retrieval: Receive full flight details—airlines, segments, pricing, and availability—so the assistant can present a complete picture to the user.
• Automatic connection management: The server handles connecting flights and layovers, abstracting the complexity of flight network graphs from the developer.
• Contextual memory: Claude can store previous search results in conversation state, enabling comparative analysis or incremental refinements without re‑entering data.

Real‑world scenarios where this MCP shines include travel agencies building chatbots that negotiate multi‑city trips, corporate travel tools that need to compare flight options across dates, or personal assistants helping users plan spontaneous vacations with minimal friction. By integrating this server into an AI workflow, developers can replace clunky calendar interfaces and manual API calls with a conversational interface that feels natural and efficient.

Unique advantages of the Flights MCP are its read‑only safety model—no booking or charging is possible, ensuring compliance and security—and its test‑mode support via Duffel’s key, allowing developers to prototype and validate functionality with simulated data before moving to live mode. This combination of ease of use, rich feature set, and safety makes the Flights MCP server a compelling choice for any application that needs reliable flight search capabilities embedded in an AI conversation.