"Product Hunt" matching MCP servers:

An MCP server that provides AI assistants with tools for Mercado Libre and Shopee affiliate marketing, including product search, affiliate link generation, product analysis, copy generation, and trending product discovery.

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.

Enables AI agents to automate the full affiliate e-commerce workflow across Shopee and TikTok Shop, including product hunting, seller auditing, review mining, and generating video storyboards and VideoFactory projects. It provides nine MCP tools for search, intelligence extraction, database queries, and system health checks.

An MCP server that helps digital product creators go from idea to a zipped, listing-ready product — including market research, product generation, SEO, listing copy, pricing, and Gumroad/Etsy preparation.

Enables autonomous creator operations and influencer marketing automation by dispatching product seeding kits and coordinating unboxing workflows through MCP-compliant clients.

Enables auditing e-commerce product catalogs for Google Shopping and Meta readiness, providing per-rule breakdowns, sample product URLs, and affected catalog value.

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

Enables affiliate marketing and product promotion across Taobao, JD.com, and Pinduoduo platforms with link conversion, product search, and order tracking capabilities.

Enables interaction with the Hostinger Ecommerce API to retrieve product information and update product descriptions through the Model Context Protocol.

MCP server for VitaFlow. Connects ChatGPT to Shopify product data for product management, category cleanup, and tax setup.

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.

Turns your AI host into a product videographer — scripted screen recordings of your own web app with a gliding cursor, camera zooms, highlight callouts, captions, and branded transitions, plus marketing-grade screenshots. Automatic dark-frame cleanup and MP4/GIF export. Free, MIT, 100% local — no account, no API keys.

AutomateLab AI-SEO audits, scores, and rewrites web pages for AI citation eligibility, AEO and GEO. No API keys or registration. Works with Claude, Cursor, Codex, and other MCP clients. Product and documentation: https://automatelab.tech/products/mcp/ai-seo/

Enables AI agents to draft AP-style press releases from a product URL and publish them to a public newsroom page, or distribute them across a newswire to hundreds of news, TV and radio sites, with status tracking for wire orders. Paid calls are settled per request in USDC on Base via x402 from the user's own wallet, defaulting to quote-only mode with spend caps and confirmation tokens.

Enables AI assistants to generate product mockups by integrating with the Dynamic Mockups API. Supports browsing mockup catalogs, creating single or batch renders with design assets, and managing PSD templates.

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

Lets an MCP client check whether an ecommerce store can be read by AI assistants, auditing robots.txt to see which AI search versus training crawlers are blocked and sampling product pages to confirm structured data and facts survive in raw HTML without JavaScript. It can also generate a training-only opt-out robots.txt that leaves answer-engine crawlers allowed, all inside the conversation the user is already in.

Enables agents to measure product-specific funnel rates from historical order data, recalibrate cost-per-lead bounds, and audit proposed advertising decisions against corrected figures.

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

Enables agents to evaluate whether a product-adoption message is worth sending by applying a fixed, evidence-based rubric to a draft, recipient context, evidence, and the agent's own assessment, returning a send, revise, or hold recommendation with a score and reasons.