"New product development resources and information" matching MCP servers:

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

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

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)

A local stdio MCP server that lets AI assistants run audits of generic HTML and Shopify product pages, gathering reproducible evidence on identity, structured data, images, links, specifications, and optional browser or link checks. It returns JSON and Markdown reports that the client can interpret, while keeping automated findings separate from checks requiring human judgment.

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 MCP clients to convert e-commerce item URLs or supplied HTML into clean JSON containing fields like name, brand, price, currency, stock, identifiers, images, rating, and offers, with optional Markdown or JSON-LD output.

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.

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.

Searches Ctrip group tour products by keyword and filters, recommends top picks by rating/sales/price, and returns Markdown tables with links.

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

Gives AI clients the CAM product viability verdict (TEST_CANDIDATE / HOLD / REJECT) from price and costs per order.

Enables users to look up Amazon buy box and list prices, stock, seller, and rating by ASIN or product URL across nine marketplaces, and to surface price or stock changes between runs.

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

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.

Read-only MCP catalog server for bradray2's Gumroad line of AI-agent tools and datasets. Tools: list_products, get_product, purchase_info (returns Gumroad URLs + checkout instructions for live products; coming-soon items carry no links). No payments, read-only.

Enables users to generate complete product-image sets from a single photo for platforms such as Amazon, Etsy, Shopify, TikTok Shop, and social ads, with options for language and image-pack customization. It also supports checking listing images against marketplace image rules before upload.

Enables AI agents to discover new and pre-launch Shopify stores from public CT logs and RDAP data, and to check any list of domains for Shopify usage with registration dates and store metadata.

Enables AI agents to manage an in-memory product catalog with tools to add products, search by name or category, and retrieve product details by ID.

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.

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

Enables AI agents to interact with Magento 2 development environments through comprehensive tools for module management, database operations, cache control, configuration management, and system diagnostics. Supports complete development workflows from module creation to deployment and troubleshooting.

Enables AI assistants to search product information and compare pricing from Coles and Woolworths, with optional store selection and result limiting.

Exposes KanexPro CMS API as tools for Claude, enabling product lookup, category listing, and content publishing.

Exposes product catalog and semantic search as tools for an LLM agent, enabling natural language product recommendations based on intent rather than keyword matching.

Enables detection and risk scoring of e-commerce return fraud and wardrobing by correlating return velocity, carrier scan discrepancies, product tag tampering indicators, and customer return history, then enforcing actions like restocking fees or dispute escalation.

Enables AI-powered Amazon product searches and recommendations by integrating the Amazon API with Hugging Face models. It allows users to filter products by price and specific features to receive tailored shopping suggestions.

Provides tools for managing a product catalog, including functions to list, add, and retrieve product statistics. It enables AI agents to perform inventory operations and data analysis through a standardized interface.