A Model Context Protocol (MCP) server that enables integration of Strands agents with Amazon Q and other MCP-compatible systems through a plugin architecture.
A ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.
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.
A comprehensive Google Ads API integration for AI assistants through the Model Context Protocol. This server enables Claude AI and other MCP-compatible clients to manage Google Ads campaigns, analyze performance, and execute GAQL queries with natural language commands.
Exposes Amazon Nova Act browser-automation tools via the Model Context Protocol, enabling AI agents to control a web browser through natural language instructions.
An MCP server that enables AI agents to play Pokémon games by providing a functional interface for game interaction. It allows for seamless integration with AI clients to execute gameplay tasks and manage game states.
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.