"Amazon Web Services (AWS) information and resources" matching MCP servers:

MCP servers for Amazon Seller Central and Amazon Ads API, enabling AI assistants to manage your Amazon account using natural language.

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

placement for the depractaed Amazon Product Advertising endpoint. You ask Claude to find something, it searches the live Amazon catalogue, and it hands you back a finished HTML card - image, price, savings, star rating, your Associates tag already baked into the link, and the disclosure footer Amazon requires, by Houtini

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

Agent-native Amazon review intelligence — fetches verified reviews from 10 marketplaces via real Shulex OpenAPI (not scrapers) and produces copy-ready listing improvements grounded in actual customer language. Backed by a 2B-review historical dataset that Helium 10 / Jungle Scout can't replicate. Works in any MCP client (Claude Code, Claude Desktop, ChatGPT, Cursor, Windsurf, VS Code, Cline).

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 Claude to read and search an Amazon Ads account, pull suggested bids and reports, and propose changes as approved plans with rollback support.

MCP Server to interact with Amazon Ads

Facilitate the management and automation of Amazon Sponsored Ads

Enables managing Amazon seller accounts directly from an AI assistant, with tools for listings, orders, pricing, inventory, and multi-marketplace switching.

Enables MCP clients to read Sponsored Products, Brands, and Display configuration, request performance reports, and prepare preview-first changes for explicitly allowlisted advertising profiles.

Enables beginner Amazon India sellers to research product opportunities, estimate demand, analyze competition, calculate profitability, find suppliers, mine reviews, research keywords, and generate listings through Claude Desktop.

Pay-per-call web page extraction, on-page SEO audits and text analysis for AI agents. Paid in USDC on Base via x402; no API keys, failed calls are not charged.

MCP server that exposes the Amazon Selling Partner API to Claude Desktop and any other MCP client. It wraps the python-amazon-sp-api SDK and ships 55+ tools across 19 SP-API scopes with automatic pagination, throttle-aware retry and multi-marketplace support.

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.

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.

Site, email and agent safety — SPF/DKIM/DMARC, AI/SEO audit, page-change monitor, free hidden-AI scanner (4 MCP tools).

An MCP server that lets agents run free, keyless lead-leak audits on UK local service businesses — detecting form platforms and their outreach implications, checking whether phone numbers are tappable tel: links, comparing phone numbers across a site and free directories, screening website hygiene, and locating a business's own site. It also bundles these into a single full audit that returns a prioritised list of fixable issues alongside top local competitors.

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

Enables agents to fetch web pages as clean Markdown, inspect metadata, extract links, analyze tech stacks, and audit or compare SEO, with per-call billing and automatic refunds for failed fetches.

Enables AI assistants such as Claude, ChatGPT, Cursor, and Claude Code to run 25+ specialized SEO checks on any URL, generate XML sitemaps and robots.txt files, extract brand design elements, and audit technical SEO, content quality, mobile responsiveness, and security.

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

Enables keyword research, organic rankings, competitor and backlink gap analysis, historical/mobile research, and AI visibility lookups by driving Semrush's own read endpoints through an authenticated Chromium session, with no developer API key or CAPTCHA service required. Every operation is also exposed as a native CLI command.

A Model Context Protocol server for Marketing Connect AI integrations that provides tools, resources, and prompts for AI models to interact with marketing systems and data.

Enables AI agents to check a list of websites by running an Apify Actor through one tool, returning per-site tech stack, on-page SEO issues and score, robots.txt rules for AI crawlers, sitemap, llms.txt presence, and an AI-readiness score. Supports local stdio operation with an Apify token for tool calls.

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.

Amazon organic ranking MCP server. Run campaigns, track keyword positions, monitor rank movement.

An MCP server for converting App Store Optimization (ASO) data from platforms like App Store Connect into Web SEO data. It enables the creation of synced websites, keyword research, and automated blog content generation based on app store metadata.

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.

Keyword Metrics for Google Ads search volume, CPC, advertising competition and monthly history. Optional AI Search Volume provides modeled question-demand signals, not actual ChatGPT or Perplexity query counts. Free discovery and quotes; paid calls require an approved budget and use USDC on Base via x402. Also includes SERP, domain and local-market research.