"A website for shopping, Amazon services, or information about the Amazon River/region" matching MCP servers:

A high-performance Model Context Protocol (MCP) server that provides seamless integration with Amazon DataZone services. This server enables AI assistants and applications to interact with Amazon DataZone APIs through a standardized interface.

An MCP server that enables AI assistants to interact with Amazon Connect contact centers, providing 88 tools, 91 configuration templates, and multi-region support.

Provides access to Amazon Bedrock's Nova Canvas model for AI image generation.

Auto-generates MCP tools for all Amazon DataZone API operations, enabling natural language management of SageMaker Catalog resources.

A Model Context Protocol server that provides tools for accessing and managing AWS VPC Lattice information, allowing users to list sources and retrieve sample prompts related to AWS networking documentation.

This read-only MCP Server allows you to connect to Amazon S3 data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Send email through your own Amazon SES account, and check domain verification, the suppression list and sandbox status. Works with any SES account; Wraps adds send history and delivery events.

Enables AI applications to interact with Amazon Advertising API through the Model Context Protocol. Supports campaign management, performance reporting, audience targeting, and comprehensive advertising operations across Amazon's advertising ecosystem.

Enables access to Amazon Managed Prometheus workspaces through natural language queries. Supports listing workspaces, executing PromQL queries, and retrieving workspace details and metrics with AWS authentication.

Enables querying Amazon Neptune databases and analytics graphs using openCypher or Gremlin. It provides tools for executing queries, retrieving graph schemas, and monitoring connection status.

An MCP server for generating videos through Amazon Nova Reel 1.1 using AWS Bedrock, providing asynchronous video generation with comprehensive prompting guidelines and multiple transport methods.

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.

Enables management of Amazon Bedrock Knowledge Bases including creation, data source configuration, document ingestion, and RAG (Retrieval-Augmented Generation) queries with support for multiple embedding models and custom parsing/chunking strategies.

Enables interaction with Adobe Commerce Catalog Services to retrieve product variants, price overrides, category permissions, and environment details via MCP.

A dedicated server for Oracle Cloud Infrastructure (OCI) Core Services that enables management of compute instances and network operations with LLM-friendly structured responses.

Provides a private, managed instance of the official GitHub MCP server hosted on Amazon Bedrock AgentCore with Okta authentication. It allows developers to securely interact with GitHub through MCP-compatible IDEs over a private AWS infrastructure.

An MCP server that enables interaction with Google Cloud Game Services API, allowing users to manage game server deployments, realms, and configurations through natural language.

Provides tools to validate SageMaker workloads against the six pillars of the AWS Well-Architected Framework, returning findings with severity levels and recommendations.

Enables AI agents to manage RabbitMQ message brokers through admin APIs, supporting multiple brokers, OAuth authentication, and mutative tools.

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.