"Guide to Building a Minecraft Protocol (MCP) Server" matching MCP servers:

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

MCP server for e-commerce operations including product catalog management, cart/checkout, and Stripe integration, with built-in EU AI Act compliance.

Enables AI assistants to plan and track McDonald's visits by locating stores, estimating commute calories, recommending nutrition-targeted menu combinations, monitoring orders, running spaced-repetition vocabulary practice during waits, and recording progress in a local dashboard.

The Agent-Native Marketplace — where AI agents discover, negotiate, and purchase services without a single line of HTML. Freedom Commerce is an open protocol and reference implementation for agentic commerce

Enables local, read-only product-data checks for reviewing product records, comparing feed snapshots, and comparing dimensions against source rules, returning match or hold decisions without fetching references or modifying feeds.

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.

MAP (Maraventano Agent Protocol). One MCP server with three subtractive parts — Merchant Key (read any product URL into one CleanRead), Atlas (publish your own catalog by reading yourself), Provisions (wallet curriculum), Teacher, not butler: never signs, pays, or holds keys.

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.

MCP server for managing on-chain loyalty programs on Base L2. Mint tokens, manage rewards, track balances, tiers and marketplace offers via standard MCP protocol.

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.

Agentic commerce infrastructure for AI agents. MCP-native product discovery, contextual ad matching, and purchase facilitation with European privacy compliance (nDSG/GDPR).

Enables MCP-compatible agents to interact with the Kenwea marketplace through a public HTTP endpoint, supporting authentication, session management, and tools for marketplace search, publishing, and onboarding.

Enables product search, price comparison, and price history analysis across 6 European marketplaces (DE, AT, GB, FR, IT, ES).

Enables agents to discover OP-verified merchants accepting Bitcoin Lightning, BOLT12, L402, or USDT payments, with tools for search, merchant details, and payment endpoint verification.

Enables AI buyers to discover products, create orders, and complete payments across any merchant implementing the protocol, with enforced spending limits, consent checks, prompt-injection sanitization, and an immutable audit trail.

Enables AI agents to discover and interact with businesses by reading structured NOD manifests. Provides tools to look up business capabilities and check if specific actions like ordering food or booking appointments are supported.

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.

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

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.

MCP server for the negotiate.v1 protocol, enabling Claude to discover stores, list products, and negotiate deals through native tools.

A Model Context Protocol server for Home Depot Canada that exposes product search, product details, store-level stock, and a store finder to MCP clients like Claude and Cursor.

An unofficial Model Context Protocol server for the efood.gr consumer app API that lets you discover restaurants, browse menus, build a cart, and place real orders on efood.gr.

MCP server for building Shopify stores with AI, letting Claude Code and other clients edit themes, pages, and navigation via the Admin GraphQL API. Credentials stay on your machine as the server runs locally.

Provides access to Grips Intelligence e-commerce analytics data through Model Context Protocol. Enables querying domain performance metrics, channel breakdowns, ad spend data, and device analytics for e-commerce businesses.

Enables interaction with FastSpring e-commerce platform for managing orders, subscriptions, and accounts through natural language using the Model Context Protocol.

A Model Context Protocol server that exposes the StoreSignal API as tools, so any MCP client can analyze Shopify stores and run market intelligence queries conversationally.

An MCP server that wraps the Universal Commerce Protocol (UCP) Discovery and Catalog capabilities, letting you search and compare products across UCP merchants directly from Claude.

The first Model Context Protocol server for SellerCloud. Plug Claude into your catalog, inventory, orders, and channel listings — read-only, in five minutes.

A local-first Model Context Protocol server that provides LLM agents with structured access to e-commerce data (products, inventory, orders, sales analytics) using a realistic mock dataset, zero configuration, and a swappable DataProvider interface for live APIs.