A Model Context Protocol (MCP) server that enables integration of Strands agents with Amazon Q and other MCP-compatible systems through a plugin architecture.
Enables AI assistants to request human input by creating tasks on Amazon Mechanical Turk, integrating human-in-the-loop capabilities via the MCP standard.
Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.
Exposes Amazon Nova Act browser-automation tools via the Model Context Protocol, enabling AI agents to control a web browser through natural language instructions.
Enables users to analyze data from BitFlux-enabled AWS EC2 instances and AWS pricing APIs to determine optimal instance types for their workloads. It provides recommendations by comparing instance usage statistics with current AWS pricing and resource offerings.
Deploys a minimal MCP-compatible Python tool server on Amazon EKS that establishes an outbound WebSocket connection to an AgentCore Gateway. It exposes two tools (get_system_info and echo_data) for tool discovery and invocation through the MCP protocol.
A proof-of-concept implementation that enables Amazon Bedrock AgentCore to interact with AWS Lambda functions and REST APIs through the Model Context Protocol. It provides a gateway for protocol translation and supports direct server implementation using the FastMCP framework.