Triplyfy MCP Server

Overview

The Triplyfy MCP server bridges the gap between conversational AI and real‑world trip planning by exposing a lightweight, secure interface for Claude to manage itineraries on the Triplyfy platform. Instead of manually interacting with a web UI, developers can embed travel‑planning capabilities directly into their AI workflows—letting the assistant draft routes, add activities, and share itineraries without leaving the chat. This integration solves a common pain point for travel‑related applications: keeping user data in sync across devices while preserving the privacy and control that a native app offers.

At its core, Triplyfy MCP authenticates users via Google OAuth, exchanging a short‑lived session token that authorizes only the specific actions requested by Claude. The server exposes a minimal set of endpoints: create, read, update, and delete trips; search for flights; and retrieve public itinerary links. Because each request is authenticated with a token scoped to the user’s account, there is no need for a separate backend or database; Triplyfy itself manages persistence and sharing. This design gives developers the confidence that sensitive travel details stay within Triplyfy’s secure infrastructure, while still enabling Claude to manipulate the data on demand.

Key features include drag‑and‑drop itinerary editing, map visualization of trip legs, and the ability to attach flights directly to days. The MCP server translates these capabilities into simple JSON actions that Claude can invoke, allowing developers to build sophisticated assistants that can say things like “Add a flight from New York to Paris on June 5th” or “Move the museum visit to day two.” The server’s concise API makes it easy to integrate into existing Claude Desktop setups: a single line of configuration registers the MCP, and the first interaction triggers an OAuth flow that remains valid for roughly thirty days.

Real‑world use cases span personal travel planners, corporate expense managers, and event organizers. An assistant could automatically generate a multi‑city itinerary from a user’s email invites, suggest optimal flight times, and share the final plan with colleagues. For developers building travel bots, Triplyfy MCP eliminates the need to handle authentication, data storage, or UI rendering—everything is handled by Triplyfy while the AI focuses on conversation and decision support.

The server’s standout advantage lies in its seamless blend of privacy, simplicity, and extensibility. By delegating authentication to Google and storage to Triplyfy, developers avoid the overhead of maintaining user sessions or databases. At the same time, Claude can perform complex itinerary manipulations through a small set of well‑defined actions, making Triplyfy MCP an attractive choice for any project that requires reliable, AI‑driven travel planning without compromising on security or user experience.