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

Source: Amazon.com· Rohan Lekhwani· August 5, 2026
How we built an MCP bridge to give our AgentCore-hosted AI agent access to local MCP tools
SynaBot summary

Amazon detailed a method for connecting cloud-based AI agents hosted on Bedrock AgentCore to local tools and files. This involves creating a secure bridge using the Model Context Protocol (MCP) to tunnel messages, enabling agents to access user data residing on personal devices.

Key takeaways

  • Cloud AI agents can now securely access local user data.
  • Amazon's solution uses the open-source Model Context Protocol (MCP).
  • A secure bridge tunnels messages over existing WebSocket connections.
  • This enhances AI utility by connecting cloud and local environments.

Why it matters

This development is significant for professionals using AI assistants, as it addresses the challenge of integrating cloud AI capabilities with sensitive local data. It paves the way for more powerful and practical AI applications that can leverage both cloud processing and personal information securely.

This story was reported by Amazon.com. Read the full original article:
Read on Amazon.com

Try this on SynaBot

Related AI assistants, prompts, and tools from the SynaBot catalog.

More in Products & Launches

View all