"Amazon EC2" matching MCP servers:

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

Real-time Amazon Sponsored Products (SP) ad placements, keyword tracking, and comprehensive review data for AI Agents. Enables LLMs to autonomously conduct competitor ad audits, consumer sentiment analysis (VOC), and product optimization.

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.

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 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.

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.

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.

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.

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.

AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client.

Enables AI assistants to access Amazon Seller Central data—orders, catalog, FBA inventory, fees, and financial events—through the Selling Partner API, with read-only and reporting tools.

Provides Amazon search volume trends and growth signals to measure real consumer purchase intent, queryable by AI assistants.

Connects Amazon Seller Central and Amazon Advertising to any MCP client, with a settlement-accurate P&L underneath: every fee, refund and reimbursement as Amazon actually posted it, so contribution margin and breakeven are per product, per marketplace, per day. 107 tools spanning P&L, full Sponsored Products/Brands/Display management, Search Query Performance and Brand Analytics, inventory and for

An MCP server that exposes AWS EC2 pricing data with an option to search by CPU, RAM, networking

An AI-powered travel assistant connected to Claude via MCP that helps users plan Amazon Rainforest trips by providing directions, hotel recommendations, adventure spots, cultural sites, and travel precautions.

Real Amazon (US, UK, DE, CA, AU) & Walmart shopping data for AI assistants: ranked product shortlists, current prices, live stock, real ratings, and price/BSR history from a 17M+ product warehouse. Free hosted endpoint, no signup — 30 queries a day.

Enables AI agents to query live trend data and historical search volume across 30+ platforms like Google, TikTok, YouTube, Amazon, and Reddit, including growth comparisons and top-ranking trends.

Enables AI agents to retrieve live product prices, stock, variants, and deal ratings from Shopify, WooCommerce, Walmart, eBay, and Amazon by pasting product links and asking about price, availability, or comparisons.

An MCP server connecting AI agents to Google, YouTube, Amazon, Walmart, TikTok, and Reddit. 21 tools for web search, product lookup, video discovery, and social media analysis.

Enables AI agents to choose the lowest-carbon cloud region for a workload, with tools for ranking regions by carbon intensity and latency, and for finding optimal start times to reduce emissions.