"A system like ChatGPT with memory to provide past query context in conversations" matching MCP servers:

Enables querying and comparing products from MM's retail (B2C) and wholesale (B2B) platforms in Vietnam, including price comparisons, stock availability checks, and multi-store support with Vietnamese language integration.

MCP server for amazon.in — cheapest in-stock, best-value picks, and price history links.

Enables ChatGPT to search for books via Algolia or mock data, returning rich book details.

Enables analyzing Mercado Libre Argentina listings, calculating seller net proceeds, and preparing/publishing listings after explicit confirmation. Includes safe mock mode and secure OAuth.

Enables role-based order management through MCP tools, allowing users to view and refund orders according to their permissions (USER, MANAGER, ADMIN) with audit logging and JWT authentication handled by a FastAPI client.

Provides production-ready examples of MCP servers that demonstrate building rich, interactive UI components for ChatGPT, including authentication flows, product search with carousels, shopping cart checkout, and membership signups with state management.

A full-stack AI application implementing a Model Context Protocol server for retail operations. It enables users to query inventory, analyze pricing elasticity, and get demand forecasts through a conversational interface connected to Firebase Firestore.

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.

Enables AI assistants to interact with Square's Connect API through the Model Context Protocol standard, allowing for operations like managing customers, processing payments, and handling inventory.

agentcentral is a hosted MCP server for Amazon sellers that connects Claude, ChatGPT, and other AI clients to Amazon Ads, Seller Central, inventory, orders, catalog, rankings, finance, and fulfillment data. It provides fast reads from pre-materialized Amazon data, scoped API keys, OAuth-based Amazon connections, encrypted tokens, per-tenant isolation, and guarded write tools with audit log

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Provides e-commerce product management with CRUD operations, AI-powered descriptions, and MySQL database integration through MCP.

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.

Enables searching products, viewing orders, and analyzing order trends on Amazon.in via a persistent Playwright browser session.

MCP server for Buy Me A Pie that allows managing shopping lists and items through natural language.

Enables secure access to customer e-commerce data (orders, loyalty points, offers, preferences) through the Shopper Context Protocol with OAuth 2.0 authentication. Supports discovering and connecting to SCP-enabled merchants for personalized shopping assistance.

Allows AI assistants to interact with Square's connect API, providing access to Square's complete API ecosystem for managing payments, orders, customers, inventory, and more.

Enables authenticated access to Amazon India SP-API commerce intelligence and controlled operations, including orders, finances, listings, pricing, reports, sales/traffic metrics, and profit analysis. It also supports gated Amazon mutations through preview, approval, and execution workflows with audit logging.

Enables AI agents to manage e-commerce operations (products, carts, clients) through WhatsApp via Chatwoot, using MCP tools for inventory, cart, and customer management.

Provides structured dealer brand data including inventory, promotions, reviews, and dealer profile via MCP tools, enabling LLMs to answer accurate brand-related queries.