Official announcement · AWS Machine Learning ·

How MoEngage turned over 400 APIs into agent tools with AgentCore Gateway

AWS Machine Learning

MoEngage turned roughly 400 private REST APIs across 7 AWS Regions into permission-scoped agent tools with Amazon Bedrock AgentCore Gateway. No per-service MCP servers, no public endpoints, and no 400-tool context bloat. See how OpenAPI specs, Cedar policies, and managed Amazon VPC Lattice egress made it work.

Read at aws.amazon.com The opening of the original, or for stories before 30 October 2026 an AI model's summary of it. Check the original before you rely on a detail.

More from AWS Machine Learning

All stories
AWS Machine Learning

OfficialAWS Machine Learning

Managing Amazon Bedrock costs end to end: A playbook for FinOps and platform teams

This post presents a five-stage operating model for managing Amazon Bedrock cost: attribute every dollar to an owner, make every request observable, enforce budgets, optimize platform defaults, and operate a review cadence. Written for FinOps and platform engineering teams.

AWS Machine Learning

OfficialAWS Machine Learning

How Worldwide Express automated freight exceptions with Amazon Bedrock

Worldwide Express automated its less-than-truckload freight billing-exception process with a multi-agent solution built on Amazon Bedrock. Six months after launch, the company cut active exceptions by 75%, improved time-to-cash by four weeks, and unlocked $10 million in free cash flow.