"Amazon Alexa" matching MCP servers:

Enables agents to retrieve indexed Amazon Ads, Seller Central, and Vendor Central knowledge by browsing tags, searching tools, inspecting schemas, and executing chained calls.

Enables intelligent navigation and extraction of documentation from websites, allowing Amazon Q to automatically discover relevant pages, extract clean content, and retrieve code examples from web documentation.

Provides AI-enabled access to Amazon Business API documentation, sample code, and troubleshooting resources. Enables developers to search and retrieve API documentation, generate integration code, and get guided solutions for common errors during the API integration process.

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.

Enables Alexa+ to diagnose home appliance problems by connecting to a self-hosted MCP server, with capabilities for reading error codes from manuals, tracking household appliances, guiding repairs with visual cards, ordering replacement parts, and scheduling maintenance.

Scrapes and indexes Strands Agents documentation into Elasticsearch, providing a searchable MCP server for Amazon Q and other AI assistants.

Enables households to manage appliance inventories, manuals, warranties, and maintenance through natural-language voice interactions, with grounded troubleshooting and consumable reordering.

Enables AI agents to search enterprise Auto-ID products and exact SKUs, read live stock and current pricing, and explore variants, accessories, consumables and support relationships through a public read-only endpoint. It also surfaces manuals, firmware, drivers and other verified technical resources from the vendor's support center.

Provides AI assistants with access to private React component library documentation, props, and code examples through type-safe TypeScript integration.

Enables querying the MITRE ATT\&CK framework for adversarial tactics, techniques, mitigations, and detection methods through natural language, supporting both ID-based and fuzzy name-based searches.