AwardWallet MCP. Consolidate every mile, point, and itinerary into one query.

Listen up. AwardWallet gives your AI agent total control over every travel reward and loyalty account you use for work. You don't have to juggle a dozen airline websites just to check an expiration date or see how many points you got last quarter. This server pulls all that data into one place, letting your agent talk directly to your rewards programs.

Getting Set Up

To get going, you first use create_auth_url—this spits out a secure URL. You'll send that link to the user so they can connect their personal AwardWallet account right into your business API setup. After you confirm the connection, running get_account_check tells you immediately if the main business connection is active and working its magic.

If it fails, you know exactly where the problem is.

Who You're Tracking

The server keeps tabs on every person who gives your company permission to see their private travel data. Use list_connected_users to pull a roster of every single individual whose loyalty data you can access. If you need to know what programs are even supported, run list_loyalty_providers; that spits out the full list of all the different airline or hotel reward systems this server tracks.

Viewing User Accounts and Balances

When your agent needs to dive into a specific user's records, you first call get_user_accounts. This tool compiles a complete list of every single loyalty account—like Marriott, Delta, or whatever else—that belongs to that particular user ID. Once you have the program name, you use get_account_details to pull immediate specifics on one defined program.

That gives you things like their current point balance or what elite status level they've hit.

For a deeper dive into how those points accumulate—or vanish—you run get_account_history. This tool retrieves time-series data, showing exactly how that account's balance changed over a specific date range. You can see every gain and every loss in one place.

Mapping Out Travel Life

The server handles two types of trip data: the overall timeline and the detailed itinerary. If you use get_user_timeline, your agent pulls a simple, chronological list of everything that happened to or is happening for that user—flights, hotel stays, car rentals, the whole shebang.

For multi-stop trips, you use get_user_itineraries. This tool gives you structured records detailing both past and future journeys. It’s perfect for seeing every segment of a trip, from the first flight to the final night at the hotel, all pulled into one view. You'll get detailed information on those multi-stop plans.

The Bottom Line

You can manage user data access using list_connected_users, check program availability with list_loyalty_providers, and track everything from a simple point balance (get_account_details) to full travel timelines (get_user_timeline) and detailed itineraries (get_user_itineraries). Your agent handles all this heavy lifting, letting you stop worrying about which website key you need. You'll just ask your AI client for the data, and it gets it.