"Product Hunt" matching MCP servers:

Provides access to Product Hunt data via the Product Hunt API v2, enabling queries for posts, collections, users, topics, comments, goals, and maker groups.

An MCP server that exposes SF Supplies product search API to LLM tools. Supports free-text search, autocomplete suggestions, and retrieving filterable attributes.

Klarna-style product discovery for AI shopping agents. Makes product catalogs machine-readable so AI agents can search, compare, and purchase products programmatically.

Enables product search functionality via MCP, allowing Claude to search products by keyword with filters, list categories, and retrieve product details.

Extracts product information such as price, stock, images, and sizes from e-commerce websites using stealth browsing techniques.

Enables CRUD operations and search on an Excel-backed product catalog, allowing users to list, search, add, update, and delete products.

MCP server that gives an AI assistant tools to search and inspect Amazon product data.

Search product catalogs across thousands of Central European e-shops. Semantic search, keyword matching, GTIN/EAN lookup — via REST API or MCP. \~2,500 e-shops | ~8.5M products | 7 countries (CZ, SK, PL, HU, RO, DE, AT)

Enables AI agents to access Product Hunt data via GraphQL API, including posts, products, and rankings. Part of the Pipeworx MCP gateway.

Enables natural language product management (CRUD) with multiple classification methods, including LLM-based and fast ML classifiers, for product creation, listing, updating, and deletion via a chat interface.

Enables searching and scraping of product listings from major Pakistani e-commerce platforms including Daraz, Telemart, and iShopping. It provides tools to find the lowest-priced items with ratings of four stars or higher through automated web scraping.

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

Enables extraction of product names, prices, and currency from e-commerce pages through a single API call, with built-in anti-bot handling and protected-page support.

Enables semantic search and natural language product recommendations using ChromaDB vector store and Azure OpenAI embeddings. Supports multi-filter search by category, brand, and price with 8 specialized MCP methods for intelligent product discovery.

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.

Enables AI assistants to query Amazon search volume trends and growth signals for product research and consumer purchase intent analysis.

Enables searching products, viewing product details, managing the basket, and accessing order history on nemlig.com through natural language. It does not support placing orders or accessing payment cards.

Enables MCP clients to look up manufacturer part numbers for pricing, inventory, lead times, documents, and images via the upstream product information API, supporting single and batch queries.

Real Amazon (US, UK, DE, CA, AU) & Walmart shopping data for AI assistants: ranked product shortlists, current prices, live stock, real ratings, and price/BSR history from a 17M+ product warehouse. Free hosted endpoint, no signup — 30 queries a day.

Lets AI assistants look up product details — what each product does, who it's for, what it needs, and what it costs — along with checkout availability, so they can recommend the right tool accurately.