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Deploying a Data Analysis Agent Built with Claude Code to Production Using Amazon Bedrock AgentCore

·2026.08.22 17:12

Key point

This article introduces the process of deploying an agent developed with Claude Code to production using Amazon Bedrock AgentCore.

Details

To scale a Claude Code agent validated locally into an organizational service, infrastructure setup is required for authentication, permission management, and scalability. This article covers how to migrate to Amazon Bedrock AgentCore's managed service while minimizing changes to code logic.

AgentCore maps three elements of the local environment to production services.

  • stdio MCP servers: Converted via AgentCore Gateway to provide managed remote MCP endpoints and JWT authentication.
  • Local agent execution: Deployed via AgentCore Runtime to support serverless containers, session isolation, and automatic scaling.
  • External search: Integrated with AgentCore Web Search to enable managed web search without separate API keys.

The Claude Agent SDK acts as a bridge between local and production environments. The SDK reads Claude Code's project settings as-is for non-interactive execution and handles stdio MCP and remote MCP identically, preventing the need to rewrite agent logic.

The example scenario is an e-commerce site holding six months of order data. It sequentially explains the production migration process in four steps: data generation, local agent execution, MCP tool conversion, Runtime deployment, and web search integration. All examples are based on the us-east-1 region and require access to the Claude Sonnet 4.6 model.

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