在 Amazon Bedrock AgentCore 上构建长期运行的 MCP 服务器与 Strands Agents 集成

📄 中文摘要

提出了一种综合方法,用于在 Amazon Bedrock AgentCore 上构建长期运行的 MCP 服务器。首先,采用上下文消息策略,以保持服务器与客户端在延长操作期间的持续通信。其次,开发了异步任务管理框架,使 AI 代理能够启动长期进程而不阻塞其他操作。最后,展示了如何将这些策略与 Amazon Bedrock AgentCore 和 Strands Agents 结合,构建能够可靠处理复杂、耗时操作的生产级 AI 代理。

📄 English Summary

Build long-running MCP servers on Amazon Bedrock AgentCore with Strands Agents integration

A comprehensive approach is presented for building long-running MCP servers on Amazon Bedrock AgentCore. A context message strategy is introduced to maintain continuous communication between servers and clients during extended operations. An asynchronous task management framework is developed, allowing AI agents to initiate long-running processes without blocking other operations. Finally, the integration of these strategies with Amazon Bedrock AgentCore and Strands Agents is demonstrated, resulting in production-ready AI agents capable of reliably handling complex, time-intensive operations.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等