"Amazon" matching MCP servers:

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

Live Amazon marketplace data for AI agents: product details, prices, reviews, keyword search, best-sellers, deals, offers and stock, and seller profiles across 20 marketplaces.

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

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).

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.

Enables Claude to read and search an Amazon Ads account, pull suggested bids and reports, and propose changes as approved plans with rollback support.

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.

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

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.

Enables AI agents to run Amazon Vendor Central operations such as direct fulfillment, procurement, invoicing, and retail analytics through 40 MCP tools.

MCP server that exposes the Amazon Selling Partner API to Claude Desktop and any other MCP client. It wraps the python-amazon-sp-api SDK and ships 55+ tools across 19 SP-API scopes with automatic pagination, throttle-aware retry and multi-marketplace support.

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

Gives Amazon Quick Desktop real shell access outside its sandbox, running commands as your own user with login-shell environment, synchronous execution, background jobs, process-tree cleanup on timeout, and an audit log. A narrow pattern-based guard blocks a handful of destructive commands while ordinary work — including targeted recursive deletes — passes through.

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

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.

A local MCP server that enables querying Amazon Selling Partner API for profitability analysis (revenue, fees, COGS, net margin) and inventory alerts (FBA stock levels and low-stock warnings) using read-only operations.

Enables beginner Amazon India sellers to research product opportunities, estimate demand, analyze competition, calculate profitability, find suppliers, mine reviews, research keywords, and generate listings through Claude Desktop.

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.

Provides tools to access real-time Amazon data, including product details, reviews, offers, influencer profiles, and deals, through a FastMCP-based server.