"Amazon ElastiCache" matching MCP servers:

Enables downloading Amazon order history as CSV files with support for orders, items, shipments, and transactions across 16 Amazon regional sites using browser automation.

Enables AI assistants to interact with your personal Amazon cart through browser automation, allowing search, add to cart, and view cart functionalities.

Enables AI agents to search products, manage cart, place orders, and track shipments on Amazon via browser automation.

Turns a spoken or typed grocery list into a ready Amazon Now cart by learning usual items from order history, prioritizing previously bought products, comparing prices, and filling the cart while leaving checkout to the user.

A local AI shopping MCP server for Amazon.co.jp that searches products, adds them to cart, and opens the review page without automating purchase confirmation. It keeps your Amazon login confined to your machine's Chrome profile.

MCP server that uses a visible Playwright browser to search products and manage an Amazon Business cart, requiring manual login for security, and never finalizes orders.

Enables web scraping and data extraction from websites with geographic flexibility, privacy features, and anti-detection capabilities. Supports scraping general websites, Google Search, Amazon Search, and Reddit with customizable parameters for rendering, geolocation, and locale.

An MCP server that exposes all 77 ScrapingDog API endpoints as AI-ready tools, enabling web scraping, Google search, Amazon product data, LinkedIn profiles, YouTube transcripts, and more through a single API key.

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.

MCP server that compares grocery basket prices across Blinkit, Zepto, BigBasket, and Amazon Now in real time, identifying the cheapest platform for the entire basket.

Enables scraping web pages through ScraperAPI's rotating proxies, with options for markdown output, JavaScript rendering, geotargeting, and premium proxies, as well as structured Amazon product/search and Google search results.

Enables Claude to search Amazon (including by photo), manage and fill a real Amazon cart, view orders and track packages, set price-drop alerts, and place an order only after the user confirms it. It signs in with the user's own Amazon account locally, showing results as product cards in MCP Apps-capable clients.

Enables control of Amazon Music playback through Claude Desktop via the Model Context Protocol. Users can play, pause, skip tracks, and search for music using natural language commands powered by browser automation.

Enables AI agents to research and shop on Amazon using their own logged-in browser session, supporting product search, details, reviews, cart, wishlist, and order tracking without API keys.

Exposes Amazon Nova Act browser-automation tools via the Model Context Protocol, enabling AI agents to control a web browser through natural language instructions.

Enables AI agents to search products across Amazon and live Shopify storefronts, vet merchants, build carts, and obtain checkout URLs via a pay-per-call API with no API key or signup.

Enables agents to perform typed, site-specific actions across a signed-in Chrome browser, interacting with services like Gmail, Reddit, Drive, and Amazon through natural language requests.

Enables searching amazon.in with full filters (price, rating, brand, category, delivery/COD options), reading complete product pages and review histograms, and estimating delivery for a given PIN code. Requires no API key, login, or paid scraping service.

14 web scrapers as MCP tools for AI agents: Reddit, Amazon, Google Maps, Yelp, YouTube, Indeed & more.

Provides instructions and code to set up an MCP server using FastMCP, enabling tool creation for LLM interaction, with an example project for extracting product information from Amazon links.

Extracts data from Amazon's Product Opportunity Explorer in Seller Central via browser automation, enabling niche search and CSV export of search terms, products, customer reviews, returns, and insights using natural language.

Enables searching products, viewing orders, and analyzing order trends on Amazon.in via a persistent Playwright browser session.

Lets MCP clients search a catalog of 391 web scraping endpoints, inspect their parameters, and call them to retrieve structured JSON from 300+ sites such as Amazon, LinkedIn, Google, and Zillow, plus check API usage and credits. Runs over stdio or Streamable HTTP, returning text, inline images, and embedded files.

Lets an AI agent work with your own Amazon account in a separate local browser profile — reading order history and return deadlines, looking up products, and filling or editing the cart. Purchases happen only after you click "Place order" on an approval page, and no tool can place an order on its own.

Enables Claude Code to run live product searches, compare cross-retailer prices, check Amazon price history, surface community deals, and optionally cross-check finalists via Capital One Shopping, with every tool reporting its checked and skipped sources.

Enables web scraping, React app testing, and React Native web app inspection using Playwright with multi-browser support. Provides backward compatibility with regular websites while offering enhanced features for React applications including mobile viewport emulation and component analysis.

Gives AI coding agents the web as an API: it scrapes pages to Markdown, crawls and maps sites, and runs ready-made or self-built skills for sites like Google Maps, Amazon, LinkedIn and Instagram, returning clean typed rows that repair themselves when a site changes. It also supports batched runs, scheduled workflows with apps like Slack and Sheets, saved logins, and Firecrawl/Apify-compatible endpoints.

Enables AI models to find the best online deals by browsing and interacting with multiple shopping platforms like Amazon and eBay across various regions. It uses Playwright to automate searches and retrieve product information from compatible e-commerce and deal-tracking websites.