ChatGPT Meets Loyalty: Gondola’s MCP Lets AI Read Your Travel Profile

A new Model Context Protocol (MCP) from Gondola lets ChatGPT and other AI clients pull real‑time data from travelers’ loyalty accounts, email‑based travel messages, and booking histories. The integration can search paid and award availability across major hotel programs, compare cash and points rates, flag good deals, and even generate checkout links that still earn points. Users set it up by installing a plugin and authorizing OAuth access, which can be revoked at any time. While the tool offers highly personalized suggestions—such as recommending the best London hotel for a specific stay—its accuracy depends on how much travel context the user has already shared. Travelers who already use AI for planning may find the added data layer useful, but they must weigh the convenience against the extra data exposure.