AWS Just Published an MCP Strategy Guide. Here Is What Actually Matters.
AWS quietly dropped a prescriptive guidance document on MCP strategies this month. If you have spent any time with MCP servers, you know the protocol itself is straightforward. The hard part is everything around it: how many tools to expose, where to host the servers, how to stop an agent from deleting your production database with inherited admin credentials.
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From Zero to Knowledge Pipeline: OpenViking on AWS Lightsail
Most people building with AI agents hit the same wall eventually. Your agent forgets things between sessions. RAG retrieval surfaces the wrong chunks. You cannot tell why the agent picked what it picked. And every time you start a new session, you are re-explaining context that should already exist.
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AWS Bedrock AgentCore Policy & Evaluations: AI Agent Governance at Scale
Many organisations are rushing into deploying AI agents with the same enthusiasm they had for serverless in 2016, great technology, terrible operational discipline. The pattern is predictable: build a proof-of-concept that works brilliantly in a demo, deploy it cautiously to production, then discover you have no idea how to govern what it’s actually doing once users interact with it at scale.
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