Airline retailing and content aggregation solutions provider, TPConnects Technologies, has integrated the Model Context Protocol (MCP) into its Iris platform, introducing an AI-ready interface that provides standardised, machine-readable access to content from more than 60 airlines through a single protocol.
Following a successful proof of concept, the enhancement enables online travel agencies (OTAs), travel management companies (TMCs), and travel sellers to automate airline onboarding and dynamically access carrier capabilities. The move addresses industry fragmentation across NDC, GDS and low-cost carrier channels.
Praveen Kumar, co-founder and chief technology officer at TPConnects Technologies, said: “The travel ecosystem is moving toward AI-driven commerce, conversational booking, and automated agents – but these systems need structured, machine-readable access to airline capabilities. MCP provides that layer.”
Built on Iris’s existing aggregation infrastructure, the MCP integration standardises airline data and allows AI agents, chatbots and automated booking systems to interpret and utilise airline content natively.
The company said the development will accelerate innovation, simplify content access and support the transition towards AI-driven travel distribution.
Kumar added: "This isn't just about accessing airline content more easily. We're building the self-learning, self-integrating foundation that the AI era demands.
"When travel platforms build chatbots or AI shopping assistants, MCP provides immediate understanding of every airline we aggregate - today's 60+ carriers and every airline we add tomorrow. That's the architectural shift from static connections to dynamic, protocol-driven discovery."
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