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775,133 tools. Updated 2026-11-13 04:30

"A guide for shopping on Amazon" matching MCP tools:

  • Fetch Yahoo Shopping's homepage editorial story feed with titles, links, categories, and thumbnails, paginated by page number for shopping guide and deals content research.
    MIT
  • Search Amazon for products to find price, rating, review count, and ASIN. Works for e-commerce product lookups on Amazon.
    MIT
  • Initiate natural language Q&A through Amazon's storefront Alexa shopping assistant to get shopping guidance answers, recommended product groups, ASIN lists, and follow-up questions. Each call supports only 1 prompt; for follow-ups, the agent must summarize context and concatenate a new question for a new request. A url can be used to supplement Amazon page context. Trigger when the user mentions Amazon Alexa, Alexa shopping assistant, Amazon smart assistant, AI shopping guide, conversational product selection, natural language shopping, Amazon chat Q&A, Amazon Alexa shopping, conversational shopping, AI shopping assistant, follow-up questions, product recommendation conversation, context follow-ups. Even if the user does not explicitly mention "Alexa", if their need is to "ask for product recommendations on Amazon using natural language", this skill should also be triggered.
    ConnectorOAuth

Matching MCP Servers

  • A
    license
    Not graded
    quality
    C
    maintenance
    面向 Codex、WorkBuddy 等 AI 工具的知你AI助手合并版 Skills,涵盖当前会话分诊、客户查询与画像、历史会话检索、客户分群和 API Key 用量查询,并连接个微、企微、视频号、微信小程序、公众号、服务号、微信客服、微信小店、抖音号、小红书、微博、网站及H5客服等渠道。
    MIT No Attribution
  • A
    license
    Not graded
    quality
    A
    maintenance
    . A good description should be concise and describe what the server enables users to do, e.g. * Enables to interact with WordPress sites...' Then a huge block? Actually the user message includes the README content inside tags, then after the readme, there is a large block of text starting with '{
    6,532 npm
    MIT

Matching MCP Connectors

  • Initiate natural language Q&A through Amazon's storefront Alexa shopping assistant to get shopping guidance answers, recommended product groups, ASIN lists, and follow-up questions. Each call supports only 1 prompt; for follow-ups, the agent must summarize context and concatenate a new question for a new request. A url can be used to supplement Amazon page context. Trigger when the user mentions Amazon Alexa, Alexa shopping assistant, Amazon smart assistant, AI shopping guide, conversational product selection, natural language shopping, Amazon chat Q&A, Amazon Alexa shopping, conversational shopping, AI shopping assistant, follow-up questions, product recommendation conversation, context follow-ups. Even if the user does not explicitly mention "Alexa", if their need is to "ask for product recommendations on Amazon using natural language", this skill should also be triggered.
    ConnectorOAuth
  • Find Amazon Business API documentation using natural language queries. Search across API schemas, authentication guides, implementation examples, and troubleshooting resources to get relevant documentation snippets for integration development.
    Apache 2.0
  • Retrieve complete Amazon Business API documentation content using document references from search results. Access full API references, implementation guides, and detailed endpoint information for integration development.
    Apache 2.0
  • Find where movies and TV shows are available to stream, rent, or buy across platforms like Netflix and Amazon Prime in specific countries.
    MIT
  • Permanently delete a shopping list item without condition or reversal. The deletion is unconditional and unaffected by list settings.
    MIT
  • Filter Amazon niches by 50+ commercial metrics to find blue oceans, high-search low-competition, or low-return segments. Use for niche scouting and deep reports.
    MIT
  • Scrape Amazon pages that standard tools don't support. Provide a content fragment or a full URL with filters, sorting, and pagination to extract structured data.
    MIT
  • Retrieve a single Amazon India product's details by ASIN or URL, including price, rating, reviews, availability, and seller info.
    MIT
  • Run Amazon keyword searches to retrieve first-page ASIN lists with product details including price, rating, and sales. Use for identifying top results and competitors for any product keyword.
    MIT
  • Perform advanced Google searches to retrieve AI Overview, organic results, and related searches for off-Amazon market research and demand analysis.
    MIT