AWS shows how to build conversational supply chain agents with Bedrock AgentCore and MCP
AWS ML Blog · rss · 2026-10-21
An AWS ML Blog end-to-end tutorial shows how to build a conversational supply chain agent using Amazon Quick as the interface and Bedrock AgentCore as the intelligence layer. Business systems (ERP, monitoring, procurement) are wrapped as MCP servers, with an AWS Agent Registry for governed tool discovery.
Key points:
- A workflow that traditionally takes 45-60 minutes across five systems collapses into three conversational prompts, from disruption detection ($750K at risk, 23 orders) to an approved emergency RFQ.
- AgentCore Gateway standardizes API/Lambda access as MCP tools; a Policy layer enforces deterministic authorization (natural language or Cedar) on every tool call.
- Multi-step orchestration chains disruption, governance, and quoting MCP servers in one request; every result returns to Amazon Quick for named human approval.
- Full deployment code, manifests, and runtime sequence diagrams included for self-hosting.
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