CargoAi has taken an unprecedented step in the air cargo world and made its CargoMART directly accessible through any AI assistants supporting the Model Context Protocol (MCP), which means all the current known favorites such as ChatGPT, Claude or Microsoft Copilot, for example. Thus, freight forwarders, airlines, GSAs, and logistics teams can access and interact with live cargo data via the AI chat tools they already use in daily operations. Using the AI interface of their choice, users can search and compare rates, review flight schedules, analyze total costs, enter shipments and book capacity with more than 105 airlines, or track cargo across over 240 carriers. The move eliminates the need to switch systems as operational workflows can now be executed directly within AI interfaces.
Furthermore, users now have the opportunity to build their own AI agents within these platforms. Without complex development, these agents can autonomously handle core tasks such as quoting, booking, and tracking, effectively acting as digital operators embedded in everyday workflows. CargoAi observes a growing trend within the air cargo industry, that shows what it terms the ‘operational center of gravity’ shifting away from traditional TMS and CMS systems toward AI-driven interfaces that serve as ‘orchestration layers’ connected to enterprise systems.
For CargoAi, opening CargoMART via MCP is a natural evolution of its strategy, founded as it is on AI principles. Its platform has been built around AI from the beginning – predictive tracking, rate intelligence, and automated quoting are all AI-based and already deployed at scale. As is its CargoCOPILOT chat tool.
Matt Petot, Founder and CEO of CargoAi, explained: “As AI adoption accelerates across the industry, teams are looking for flexible ways to build their own workflows using the tools they already use. We’ve been deploying AI in production for years. Today, we are opening that same intelligence to every AI platform. Making air cargo operations faster, simpler, and more efficient.”
François-Xavier Gsell, CTO of CargoAi, added: “AI is quickly becoming the standard interface to interact with systems and data. By making CargoMART data and capabilities natively accessible through MCP, we enable teams to seamlessly integrate air cargo intelligence into their existing workflows and build their own intelligent automations.”
