"Accessing Data from a Cryptocurrency Decentralized Exchange (DEX)" matching MCP servers:

Provides a read-only MCP interface to locally synchronized Amazon seller data, enabling AI agents and analytics tools to query order, inventory, advertising, and settlement information with completeness and freshness checks for safe analysis.

Enables app intelligence across Google Play and the Apple App Store, including details, reviews, and search via a unified API.

Enables Amazon search and product data extraction, returning titles, prices, ASINs, and listings as clean JSON through MCP.

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 AI agents to retrieve live Dubai property transactions, Gulf jobs, gold and silver prices, Amazon and Noon product data, and to perform web search and convert web pages or sites into clean Markdown for grounded answers.

Enables AI assistants to query live pricing and stock, place and track orders, and retrieve invoices through Dicker Data's B2B partner/reseller REST API.

Amazon Seller Central MCP server. Connect Seller Central, Vendor Central and Amazon Ads to Claude, ChatGPT, Gemini or Cursor, and ask for net profit per SKU with your own COGS, VAT and FBM shipping costs, PPC down to the search term, SQP, inventory and listing health.

Enables MCP clients to search Amazon products, retrieve product details and reviews, and access best-seller rankings across 23 marketplaces through four tools.

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.

Provides access to bakery POS transaction data, product catalogs, and sales analytics from SQLite database through natural language queries and custom SQL execution.

Enables AI agents to discover payable real-world services — such as EV charging and food — through a unified registry and downstream gateway, then complete payments via swappable rails. Exposes tools for listing services and federated downstream servers, searching nearby chargers, and obtaining payment quotes or card credentials for agent-driven checkout.

A hosted remote MCP server that gives AI agents live hotel, Airbnb/Vrbo and flight pricing tools — nightly rate calendars up to 330 nights, every booking site's price for a stay compared against the hotel's own site, guest reviews, and Google Flights search. Clients connect over Streamable HTTP with browser OAuth or an API key, so nothing needs to be installed or run locally.

Read-only MCP server for internal Amazon business data, exposing 19 tools to query sales, inventory, and financial metrics.

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.

An MCP server that lets Claude and other clients query DataDive niches, keywords, competitors, and Rank Radar data using your API key, including tools for managing dives and rank radars.

MCP server for Buy Me A Pie that allows managing shopping lists and items through natural language.

Provides AI assistants with access to ShopSavvy's comprehensive product data, pricing information, and historical price tracking, enabling product lookup by barcode or ASIN, current offers, price history, and scheduling for automatic monitoring.

Enables analysis of cross-border e-commerce data from imported JSON reports, providing tools for order, product, inventory, profit, advertising, creator, and customer service analytics using deterministic formulas.

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

Enables querying and managing daily store sales data stored in CSV files, including listing available dates, retrieving raw sales data, computing daily and per-item statistics, and saving new daily sales data.