"Amazon ElastiCache" 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.

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.

Enables AI assistants to recommend Amazon products with automatic affiliate link insertion, supporting product search, deals, bestsellers, and promotional content.

Enables natural language querying of Amazon Advertising data including Sponsored Products, Brands, Display, DSP reports, and AMC SQL workflows, with live data from the Amazon Ads API.

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.

A Model Context Protocol server that provides tools for accessing and managing AWS VPC Lattice information, allowing users to list sources and retrieve sample prompts related to AWS networking documentation.

Self-hosted analytics for a single Amazon seller account, pulling Seller Central and Advertising data into Postgres and serving it to Claude via a bearer-token-guarded HTTP endpoint.

MCP Server to interact with Amazon Ads

Enterprise-grade MCP server for SAP ABAP development, enabling AI-powered coding assistance through Amazon Q Developer and Kiro with 15 SAP development tools.

Enables reporting on and managing Sponsored Products, Sponsored Brands, and Sponsored Display campaigns, keywords, targets, bids, budgets, portfolios, and budget rules through MCP clients, with dry-run, confirmation guards, read-only mode, and an audit log for safer write operations.

Auto-generates MCP tools for all Amazon DataZone API operations, enabling natural language management of SageMaker Catalog resources.

Enables MCP clients to access Amazon Selling Partner and Advertising APIs for orders, inventory, pricing, ads, reports, and related read paths.

MCP server for Amazon Selling Partner API and Advertising API, enabling access to orders, inventory, pricing, ads, and reports via natural language.

Enables sellers to interact with Amazon Selling Partner API and Advertising API data—orders, inventory, pricing, ads, reports, and more—through MCP clients like Claude and Cursor.

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.

Enables users to query and visualize AWS spend and Amazon Bedrock usage data through natural language, including EC2 and service cost breakdowns and Bedrock usage by region, user, and model.

Enables natural-language analysis of AWS spend through Cost Explorer and Amazon Bedrock usage via CloudWatch model invocation logs, with breakdowns by service, region, model, user, day, and instance type. It also supports cross-account cost retrieval and local or remote MCP transports.

Enables users to query AWS spend data and Amazon Bedrock usage from CloudWatch model invocation logs through natural language. Supports detailed cost breakdowns by service, region, day, and instance type, including cross-account AWS spend retrieval.

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

Enables users to query AWS spending and Amazon Bedrock usage in natural language through MCP clients, with breakdowns by service, region, day, model, and user, plus optional cross-account access.

Enables read-only inspection of ad-bid recommendations, scenario analysis, and explanation of threshold decisions using synthetic fixtures, without requiring live ad accounts or credentials.

Enables querying AWS Cost Explorer spend data and Amazon Bedrock model invocation logs through CloudWatch in natural language. Supports EC2, Bedrock, and cross-account cost analysis via local or remote MCP transports.

Enables querying AWS spend data via Cost Explorer and Amazon Bedrock usage data from CloudWatch logs using natural language. Supports cross-account access, local and remote deployment, and integration with Claude Desktop and LangGraph agents.

Enables users to query AWS Cost Explorer spend data and Amazon Bedrock usage data from CloudWatch model invocation logs through natural language, including EC2 breakdowns, service spend reports, and detailed cost data by day, region, service, and instance type.

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.

Cross-channel CPG pricing intelligence — Amazon category benchmarks (percentile rank, trend, tier breakdown) for multi-channel brands selling on Amazon plus retail/DTC/wholesale. Six tools across 800+ tracked products in Grocery, Health & Beauty, Household, and Pet Supplies.

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.

An MCP server that gives LLM agents full access to Amazon DynamoDB, supporting table management, querying, scanning, and item CRUD operations.

Enables AI agents to compute exact Etsy, eBay and Amazon FBA/FBM seller fees, profit, margin, break-even and target prices from current marketplace fee tables, plus free category and region lookups and 3-way marketplace comparisons. Every result returns an itemized fee breakdown, assumptions, fee-table version and links to official sources and matching calculators, so price and margin questions can be answered deterministically without scraping or API keys.

Enables querying Amazon bestseller ranks and reviews, confirmed eBay sold prices, TikTok Shop sales estimates, and Etsy shop/search sales signals through hosted or local MCP tools.

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.

MCP server for AI agents providing 300 curated Japanese home & lifestyle products across 31 categories. Features mm-precision dimension search, related-item chains (1 product → 3-5 accessories), shelf+storage coordination, and Rakuten/Amazon affiliate links.

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.

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.

Turns iPhone LiDAR scans, depth maps, room scans and reference-card photos into real-world measurements with uncertainty ranges, letting an AI client size cookware and scale recipes, check room and doorway fit, classify Amazon FBA size tiers and fees, and estimate moving or storage volume. It reports a ± and confidence level with every figure and states plainly when it is guessing.

Enables AI clients to start and monitor Amazon product extraction jobs, retrieve cached product media, convert Amazon playlist videos to MP4, and check account usage through a hosted MCP endpoint or local stdio bridge.

MCP server that gives AI agents persistent, tenant-scoped memory with semantic search and consolidation, using CockroachDB vector indexes and Amazon Bedrock embeddings.

Lets MCP clients search Amazon, manage a price-tracking watchlist, retrieve price histories and offers, and configure alerts and check intervals through the API.

Enables AI assistants to interact with Ring cameras and doorbells through the official Amazon Vision API, supporting device listing, health status, event history, and live WebRTC streaming via natural language.

Provides reusable MCP tools for Amazon Connect AI Agents and Bedrock AgentCore to look up customers, manage support tickets, schedule appointments, update CRM records, retrieve knowledge, and create tasks.