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Announcing Web Search on Amazon Bedrock AgentCore: Ground your AI agents in current, accurate web knowledge | Amazon Web Services (opens in new tab)

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Amazon Bedrock AgentCore Web Search is now generally available, giving AI agents access to current, cited web information without sending prompts or queries outside a customer’s AWS environment. Built into AgentCore Gateway through the Model Context Protocol (MCP), it combines Amazon’s web index with structured knowledge graph data to provide relevant snippets, URLs, titles, dates, and verified facts. The service lets developers ground agent responses in up-to-date information without building or managing search infrastructure themselves.

How Web Search Works

  • Agents submit natural-language queries through an AgentCore Gateway.
  • The tool returns:
    • Relevant web snippets
    • Source URLs
    • Page titles
    • Publication dates
  • Results are powered by:
    • Amazon’s web search index
    • Amazon Knowledge Graph data
  • The combination of web results and structured facts is intended to improve relevance and accuracy over conventional search alone.
  • Retrieved information can support both grounded responses and follow-up agent actions.

Secure, Managed Agent Integration

  • Web Search is a fully managed connector target for Bedrock AgentCore Gateway.
  • Customer prompts and retrieval queries remain within the AWS environment rather than being sent to external search API providers.
  • Developers avoid implementing search integrations and operating related infrastructure.
  • The service supports enterprise governance requirements and secured data workflows.

Getting Started

  • Create or open a Bedrock AgentCore Gateway in the AWS console.
  • Select:
    • MCP as the target protocol
    • Connectors as the target type
    • Web Search as the preconfigured target
  • After the Gateway URL is created, interact with the tool using:
    • API calls
    • AWS CLI
    • MCP Python SDK
    • Strands MCP Client
    • MCP Inspector
  • MCP Inspector can be used to connect to the Gateway, enter a query, and run the Web Search tool for testing and debugging.
  • Web Search can also be added to an existing Gateway.

Early Customer Use Cases

  • Benchling uses Web Search to combine institutional scientific data with published literature, helping researchers generate more complete answers and hypotheses in a governed environment.
  • Gen Digital uses the tool in Norton Revamp to create current online reputation content based on real-world developments.
  • Customers highlighted the value of current information, AWS-native security, and keeping search queries within their trusted environment.

Availability and Pricing

  • Web Search is generally available in US East (N. Virginia).
  • It is offered at no additional cost initially.
  • Customers pay applicable Gateway data transfer charges.
  • New AWS customers may receive up to $200 in Free Tier credits.

Developers can try Web Search through the Amazon Bedrock AgentCore console and consult the Gateway documentation for implementation details.