"Amazon Cognito" matching MCP servers:

Demonstrates how to secure an MCP server with OAuth 2.1 using AWS Cognito, with support for dynamic client registration and client ID metadata documents.

MCP servers for Amazon Seller Central and Amazon Ads API, enabling AI assistants to manage your Amazon account using natural language.

Enables AI assistants to query Amazon search volume trends and growth signals for product research and consumer purchase intent analysis.

MCP server for amazon.in — cheapest in-stock, best-value picks, and price history links.

Enables MCP clients to search Amazon products, retrieve product details by ASIN, look up seller profiles, and browse seller catalogues as structured JSON across 23 regional Amazon domains.

placement for the depractaed Amazon Product Advertising endpoint. You ask Claude to find something, it searches the live Amazon catalogue, and it hands you back a finished HTML card - image, price, savings, star rating, your Associates tag already baked into the link, and the disclosure footer Amazon requires, by Houtini

Enables AI agents to access Amazon commerce intelligence, WIPO design-patent data, Google Trends, and local market data through 19 business data tools via a stdio bridge to a hosted MCP server.

Enables creating and editing Amazon listing images and product videos from live catalog data, with Amazon compliance rules, character-consistent generation, and resumable video generation.

Remote MCP server with 19 e-commerce and IP-compliance data tools — Amazon product/review/search/niche/bestseller data, AI SERP & keyword trends, local Maps POI, WIPO trademark search, and PACER patent litigation. No scraping code or proxies needed; one API key unlocks all tools.

Amazon organic ranking MCP server. Run campaigns, track keyword positions, monitor rank movement.

A production-grade MCP server for the Amazon Selling Partner API that provides a complete registry of 353 operations across 49 API domains, enabling discovery, description, and invocation of SP-API operations with version awareness and safety controls.

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.

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

Agent-native Amazon review intelligence — fetches verified reviews from 10 marketplaces via real Shulex OpenAPI (not scrapers) and produces copy-ready listing improvements grounded in actual customer language. Backed by a 2B-review historical dataset that Helium 10 / Jungle Scout can't replicate. Works in any MCP client (Claude Code, Claude Desktop, ChatGPT, Cursor, Windsurf, VS Code, Cline).

Fetch live Amazon product data using Amazon Scraper API MCP server

Enables AI agents to research Amazon reviews and voice-of-customer signals through read-only tools for paginated reviews, complaint evidence, rating summaries, media filtering, and side-by-side comparisons of two products.

Connects Claude to your Amazon Seller Central account via the Selling Partner API, enabling queries for recent orders, sales summaries, FBA inventory, and financial events.

Hosted Amazon market-intelligence MCP for Claude and ChatGPT: query brands, sellers, ASINs, under-competed niches, the cross-seller operator network, observed buy-box history, and Amazon/Walmart cross-marketplace overlap. 65 read-only research tools over a pre-collected research dataset.