AWS ML BlogSaturday · May 23, 2026FREE

Integrating AWS API MCP Server with Amazon Quick using Amazon Bedrock AgentCore Runtime

Amazon Bedrock AgentCore Runtime has added support for the Model Context Protocol (MCP), as detailed in a new AWS Machine Learning Blog post. This integration connects Amazon Quick with AWS services through the AWS API MCP Server, enabling a conversational AI assistant that translates natural language into AWS CLI commands. The solution leverages the Bedrock AgentCore Runtime to orchestrate MCP-based tool calls, allowing users to execute AWS operations without switching between different tools. This capability is particularly useful during critical moments where context switching can be costly. The post provides a step-by-step guide on setting up the integration, including configuring the Bedrock agent, defining MCP tools, and invoking the runtime. The AWS API MCP Server exposes a set of tools that map to AWS CLI commands, enabling the agent to perform actions like listing S3 buckets or describing EC2 instances. The integration is available now for customers using Amazon Bedrock in supported regions. This development simplifies the creation of AI assistants that can interact with AWS services, reducing the need for manual CLI usage and improving operational efficiency.