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  3. AWS Machine Learning

    Building Multi-Account AI Agents with AgentCore Gateway and MCP

    AWS explains how to build multi-account AI agents using Amazon Bedrock AgentCore Gateway and MCP: the platform account runs agents through AgentCore Runtime and performs LLM inference via Amazon Bedrock, while each line-of-business account packages its data and tools as MCP servers, with the Gateway serving as a single MCP endpoint for unified tool discovery and invocation. The solution also combines AgentCore Identity with Okta for OAuth 2.0 M2M authentication, and uses Policy in AgentCore (Cedar) to achieve fine-grained authorization.

    AWS explains how to build multi-account AI agents using Amazon Bedrock AgentCore Gateway and MCP: the platform account runs agents through AgentCore Runtime and performs LLM inference via Amazon Bedrock, while each line-of-business account packages its data and tools as MCP servers, with the Gateway serving as a single MCP endpoint for unified tool discovery and invocation. The solution also combines AgentCore Identity with Okta for OAuth 2.0 M2M authentication, and uses Policy in AgentCore (Ced

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