AWS released a guide to connecting an MCP server in AgentCore Runtime to Amazon Quick
AWS described how to deploy an MCP server in Amazon Bedrock AgentCore Runtime and connect it to Amazon Quick through AgentCore Gateway; Amazon Cognito handles user authentication, while AgentCore Identity with OAuth 2.0 handles communication between services.
AWS published a guide on its Machine Learning Blog explaining how to deploy an MCP (Model Context Protocol) server in Amazon Bedrock AgentCore Runtime and connect it to Amazon Quick. According to AWS, Amazon Quick supports MCP integrations for autonomous task execution, real-time data access and connections to specialized AI sub-agents; the guide is intended for companies that already have an MCP server or that want to build a new MCP server on AWS.
The integration uses two components: connectors on the Amazon Quick side and AgentCore Gateway on the Amazon Bedrock AgentCore side, which, together with AgentCore Runtime, form part of the fully managed Amazon Bedrock AgentCore service. The authorization flow from Amazon Quick to AgentCore Gateway (Inbound Auth) handles user authentication and uses Amazon Cognito by default, but another identity provider can also be deployed. The flow between AgentCore Gateway and AgentCore Runtime (Outbound Auth), meaning communication between services, runs through AgentCore Identity and the OAuth 2.0 protocol, which the MCP protocol requires as the standard for authentication.
According to AWS, this approach supports tool reuse and prevents duplicate connector implementation — clients can use shared tools and agents exposed through an MCP server without having to code them again, allowing companies to offer their products within chat agents and Flows in Amazon Quick without building a custom connector for each use case.
The source article also contains a detailed technical procedure for deploying a sample MCP server (project structure, configuration through the AgentCore starter toolkit, containerization using a Dockerfile) and further steps for configuring AgentCore Gateway, which are incomplete in the available text. Details can be found in the source article.
Why it matters
The procedure allows companies and developers to expose existing tools and AI agents through an MCP server and reuse them across clients in Amazon Quick without having to write a custom connector and authentication logic for each application — according to AWS, this reduces duplicate development work when building agentic AI workflows.
Two audiences, two different impacts
What this means
For individuals
Developers working with AWS Bedrock AgentCore and Amazon Quick have a concrete procedure available for connecting their own MCP server as a tool for chat agents and Flows, including authentication setup, without having to design a custom authentication solution from scratch.
For a business
According to AWS, companies using Amazon Quick can share and reuse internal AI tools and MCP servers across clients and workflows, instead of building a custom connector for each use case, which reduces integration development costs.
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