TPConnects Adds MCP Layer to Astra NDC as Travel Tech Eyes AI Workflows

TPConnects Technologies said that it has integrated a Model Context Protocol (MCP) layer into its Astra NDC platform.

The company said the feature is now available after a successful proof of concept. According to TPConnects, the new layer gives travel sellers a single integration point for different airline NDC versions and schema formats.

NDC is not implemented in exactly the same way by every airline. While the standard is meant to modernize airline distribution, different versions and structures can still make integrations complicated.

The aim is to reduce technical work for travel sellers

TPConnects says the MCP-enabled layer works inside Astra NDC to provide a single connection point across different airline setups. Instead of building separate solutions for different airline configurations, sellers can connect through one layer that handles those differences in the background.

The company also said the platform includes automated version management. That should reduce the manual work needed when airlines update their NDC schemas.

Why NDC still creates work across the travel industry

NDC has been a major part of airline retailing for years because it helps carriers distribute richer offers, including ancillaries, bundles, and more dynamic pricing.

Adoption has been slowed by technical differences between airlines and the extra work required to support multiple connections.

TPConnects is trying to make NDC integrations easier to manage across different carriers through its Astra platform, while also adding compatibility with AI-driven workflows.

TPConnects is also connecting the update to AI

The company said the MCP layer can also connect airline systems to AI agents. That could support future tools for shopping, servicing, and booking automation. MCP is generally used to connect AI applications with tools, data, and workflows, which is why TPConnects is linking this update to AI use cases.

Earlier this month, Navan applied AI to hotel search to clean up duplicate listings and improve rate matching, showing how travel companies are trying to make complex content easier for both users and intelligent systems to process.

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