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How we built an MCP bridge to give our AgentCore-hosted AI agent access to local MCP tools

AWS Machine Learning Blog · Aug 05, 2026 · Engineering Insights

AWS engineers built a WebSocket/native-messaging bridge letting cloud agents call local MCP servers.

“This is the same pattern that powers products like Claude Cowork, a cloud agent calling local tools through MCP, but fully self-hosted on AWS with your own model and custom tool servers.”

AWS published a detailed engineering walkthrough for bridging cloud-hosted AI agents (on Amazon Bedrock AgentCore) to locally-running MCP servers via WebSocket tunneling through a browser extension. The pattern solves a real gap in the MCP spec — remote client, local server — and mirrors the architecture Anthropic uses for Claude Cowork. An internal finance assistant built on this pattern logged over 41,000 conversations in its first year, signaling production viability.

MCP AWS AgentCore Bedrock local-tools browser-extension WebSocket Anthropic

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