TPConnects Technologies, an airline retailing and content aggregation provider, announced Model Context Protocol (MCP) integration within its Iris platform, delivering an AI-ready interface layer that provides instant, normalized access to more than 60 airlines through a single, machine-readable protocol.

Following successful proof-of-concept validation, according to the announcement, Iris now provides online travel agencies, TMCs and travel sellers with an MCP interface that enables automated onboarding of new carriers and self-learning discovery of airline capabilities — transforming how quickly travel platforms can access and utilize airline content.

According to the announcement, the travel industry faces a fundamental architectural challenge: Airline content exists in fragmented formats across NDC, GDS and LCC (low-cost carrier) channels. Each carrier operates with unique schemas, capabilities and feature sets. This fragmentation creates friction — slowing content adoption, requiring ongoing maintenance and making it difficult for modern AI systems to reliably interact with airline capabilities.

While Iris has long aggregated more than 60 NDC-enabled airlines, LCCs and four major GDS platforms into unified content, according to the announcement, the industry needed a protocol that could expose this richness in a way that systems — particularly AI agents and automated tools — could understand natively.

Praveen Kumar, CTO, 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, he said, provides that layer. He added, “It transforms Iris’s aggregated airline content into a protocol that systems can read, understand, and interact with automatically.”