Announcing Web Search on Amazon Bedrock AgentCore for Agentic Web Retrieval

As AI agents become more capable, they need access to information beyond a model's training data - to answer questions, retrieve latest facts, and take action grounded in current developments. Today, we're making that easy with the general availability of Web Search on AgentCore. Web Search is a fully managed tool that enables agents to ground responses in current, accurate web knowledge while keeping data residency within your secured AWS environment with zero data egress.

Previously, adding web search to agents on Amazon Bedrock AgentCore required integrating with external search providers, building custom orchestration, managing authentication and billing, and coordinating security and compliance across multiple services. Web Search removes this undifferentiated heavy lifting, enabling developers to focus on building agents.

Web Search is built on Amazon’s proven search infrastructure, informed by years of experience powering agentic search experiences across Alexa+, Amazon Q Business, and Kiro. It uses a multi-source grounding approach, by combining a web index operated by amazon with structured knowledge graph data. Beyond standard web results, this gives agents access to entity data and verified facts, helping them retrieve more relevant and accurate responses than traditional web search alone.

Web Search is optimized for agentic retrieval, returning high-value excerpts that deliver strong intelligence per token. The tool is exposed as a built-in connector target on AgentCore gateway using the Model Context Protocol (MCP). Your agent sends a natural-language query, and Web Search returns ranked results with relevant snippets, source URLs, titles, and publication dates that the model can reason over to produce a grounded response.

Web Search on AgentCore is generally available today in the AWS Region: US East (N. Virginia). For more information, see the AgentCore documentation or read the AWS News Blog.