18 minutesAWS re:Invent 2025 - Implementing Human-in-the-Loop Controls for Multi-Agent AI Systems (CNS428)
See how approval gates can be implemented as explicit workflow checkpoints rather than informal manual review after something goes wrong.
AI Engineer. Anthropic's Mahesh Murag walking through MCP's design — why tools, resources, and prompts are separated, how clients negotiate capabilities, what production hosts actually do with the protocol. Watch it after the build to understand the parts of MCP the SDK quietly hides and to calibrate the article's "production-ready" checklist against the spec authors' intent.
Strong as architecture background, but not enough by itself for deployment. Pair it with current security guidance on credentials, user consent, tool permissions and hosted server exposure.
Understand how MCP fits into agentic systems beyond a local demo server.
Have seen a basic MCP server build or read the protocol overview.
Last reviewed: May 18, 2026
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