"Amazon Prime" matching MCP servers:

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.

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.

Provides image generation capabilities using Amazon Nova Canvas through Amazon Bedrock, enabling the creation of visuals from text prompts and color palettes—perfect for mockups, diagrams, and UI design concepts.

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.

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.

This read-only MCP Server allows you to connect to Amazon Redshift data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Amazon MCP server and Amazon product data API for AI agents. Lets Claude, Cursor, ChatGPT and other MCP clients search Amazon, get real-time prices, reviews, product details, sellers, deals and best seller ranks, or look up any ASIN. One API key, 100 free requests a month.

Read-only MCP server that lets a verified client connect their own AI to their trading account to read account data without order execution.

Provides AI agents with 0–100 marketplace-evidence scores for retail product listings, enabling inspection and comparison of products across Amazon, Walmart, Target, and Best Buy using native retailer IDs.

Real-time, structured Amazon data for AI agents across 21 marketplaces: product details, seller offers, search results, 12-month sales history, Best Sellers Rank, package dimensions, and seller intelligence. 16 tools including free bulk-job monitoring and account usage tracking, available as a hosted endpoint or via npx.

Official MCP server that exposes 8 tools for real-time and historical commodity prices (gold, silver, oil, and 140+ more), allowing AI assistants to query market data via natural language.

Products, social posts, search results and AI answers from Amazon, TikTok, Google, ChatGPT and more, as MCP tools. Code mode: the model writes TypeScript against a typed client, run in a sandbox.

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.

Direct access to 40+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.

Enables mining Amazon product reviews for one ASIN per request — fetching paginated reviews, surfacing complaint signals from critical reviews, summarizing sentiment and rating trends over time, ranking complaint themes, and producing a combined per-ASIN report across 14 marketplaces.

Official MCP server for OpenWeb Ninja: 40+ real-time web data and SERP APIs (Google Maps, Amazon, jobs, Zillow, Trustpilot, web search, news, finance) exposed as MCP tools.

Local-first MCP server for agent skills. Validate, lint, diff, and convert agent skill files across Cursor, Claude, Kiro, Windsurf, VS Code, and Amazon Q — no account required. Optional cloud sync with ModelBound.

One remote MCP endpoint giving agents live data from Twitter/X, Reddit, web, GitHub, Amazon, and YouTube, no API keys needed, pay per call.

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.

Enables AI agents to retrieve product details, customer reviews, and search results from retailers like Amazon, Target, Best Buy, Home Depot, and Walmart through a unified MCP interface.

Provides live China PBOC Loan Prime Rate (LPR) data for 1-year and 5-year benchmark lending rates, including historical monthly announcements and the latest print with reference dates. Enables querying current and recent LPR rates via MCP tools.

MCP server for scraping product prices, offers, reviews, and details from Amazon, Google Shopping, Bol.com, and Coolblue via natural language commands, with spend-cap protections.

MCP server that migrates Amazon Quick Suite resources (Spaces, Chat Agents, Action Connectors, and S3 Knowledge Bases) between AWS accounts, preserving permissions and linkages, with idempotency and preview dry-run support.

Provides hosted trend data MCP server for querying Google, TikTok, Amazon, Reddit, YouTube, Steam, npm and 30+ trend sources in natural language from any MCP-compatible AI.

Enables users to identify unused columns in Amazon QuickSight SPICE datasets, remove them after confirmation, list and manage snapshots, and roll back changes to reduce storage costs and speed up refreshes.

Provides read-only access to Amazon Redshift warehouses through MCP, enabling listing databases, schemas, tables, and columns, running read-only queries, and explaining query plans.

Connects MCP clients to a dropshipping account so AI assistants can find products, publish and manage listings, apply pricing rules and repricing, track stock and price history, and handle orders across eBay, Amazon, Shopify and other channels. It also exposes dashboards, sales analytics, AI publisher agents and support tooling through OAuth-authenticated access.

Provides access to Outscraper's data extraction services for business intelligence, location data, and reviews across platforms like Google Maps, Amazon, and Yelp. It enables AI assistants to perform comprehensive web scraping tasks including contact information retrieval and geolocation services.

Enables MCP clients to compute shortest paths, topological dependency orderings, maximum network flows, minimum spanning trees, and PageRank-style centrality over graph topologies using only the Python standard library. It supports optimal multi-agent communication backbone and execution-plan analysis without external graph dependencies.

Enables live search, maps, reviews, and app store data from Google, Bing, Amazon, Apple, Yelp, and Tripadvisor, returned as structured JSON for use with any MCP client.