How LendingTree built a multi-agent mortgage assistant on Amazon Bedrock
LendingTree deployed a three-agent mortgage assistant on Amazon Bedrock using LangGraph and MCP
“Our goal was to be a trusted partner in the home-buying journey, a guide that educates consumers, understands their situation, and matches them with the right offer. The foundation models and built-in guardrails in Amazon Bedrock let us deliver that with security and compliance from the start.”— Aravind Srinivas
LendingTree deployed a production multi-agent system using three coordinated AI agents — a supervisor and two specialists for education and loan matching — built on Amazon Bedrock with LangGraph and the Model Context Protocol. The architecture prioritizes regulatory compliance through Bedrock's built-in guardrails for PII protection and content filtering, reflecting the non-negotiable standards of the mortgage industry. This is a notable real-world case study of MCP adoption and multi-agent orchestration in a heavily regulated financial domain.