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Kiwi.com eyes agentic AI future with new booking technology
travel-tech

Kiwi.com eyes agentic AI future with new booking technology

Kiwi.com debuts AI-powered direct flight booking using the first Model Context Protocol server, enabling seamless agentic AI travel planning.

August 11, 2025
5 min read
jovankr@diplomacy.edu
Kiwi.com has introduced an AI-powered system for direct airline bookings, marking a significant step in integrating AI with travel services. This new system is powered by a partnership with AIpic, enabling the industry's first Model Context Protocol (MCP) server. The MCP acts as a universal adapter for AI, allowing large language models to access real-time flight inventory and facilitating AI agents to search and book flights on behalf of users. This technological advancement is strategic for Kiwi.com, positioning the company to capitalize on the increasing trend of travelers using AI platforms like ChatGPT, Claude, and Microsoft Copilot for trip planning. With predictions that agentic AI systems will soon become the primary interface for online services, Kiwi.com is proactively adapting to this shift. The MCP technology allows for natural language flight requests, with AI agents processing details such as travel dates, destinations, passenger numbers, and cabin preferences. The system then retrieves curated flight results in the user's preferred currency and time zone, complete with an instant booking link. Kiwi.com views this integration as a new distribution channel and a potential blueprint for other online travel agencies navigating the evolving landscape of AI-driven search and booking behaviors.

Frequently Asked Questions (FAQ)

Q: What is the Model Context Protocol (MCP)? A: The Model Context Protocol (MCP) is an open standard designed to allow large language models to access real-time services beyond their pre-trained data. It's often described as a 'USB-C for AI', enabling AI agents to interact with external data and services. Q: How does Kiwi.com's new system benefit travelers? A: Travelers can now use natural language to search and book flights through AI agents. These agents can understand requests for specific dates, destinations, passenger numbers, and cabin preferences, returning curated results in the user's preferred currency and time zone, along with direct booking links. Q: What is an "agentic AI system"? A: An agentic AI system refers to an AI that can autonomously perform tasks and make decisions to achieve a goal. In this context, it means an AI agent that can independently search for and book flights for a user. Q: Why is Kiwi.com investing in this AI booking technology? A: Kiwi.com is investing in this technology to meet the growing consumer demand for AI-powered travel planning and booking. They anticipate that agentic AI systems will become a dominant interface for online services, and this move positions them to capture that market share. Q: How does the MCP server facilitate flight bookings? A: The MCP server links flight inventory directly with major AI platforms. This allows AI agents to access real-time information about available flights and then present it to users, enabling a seamless booking process.

Crypto Market AI's Take

Kiwi.com's embrace of agentic AI through the Model Context Protocol (MCP) is a forward-thinking move that aligns with broader trends in how consumers will interact with online services. This integration of AI into the travel booking process demonstrates a commitment to leveraging cutting-edge technology to enhance user experience and capture evolving market demands. This development is particularly interesting from a market intelligence perspective, as it highlights how AI is moving beyond data analysis to direct transactional capabilities. For those interested in the intersection of AI and commerce, understanding these new distribution channels and the underlying protocols like MCP is crucial for navigating the future of customer interactions and digital marketplaces.

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Source: Kiwi.com eyes agentic AI future with new booking technology on 11 Aug 2025.