"How to interact with Notion" matching MCP servers:

Enables AI agents to safely interact with a SQLite shop database through schema discovery, read-only SQL queries, and pre-built analytics reports like top customers, top products, and revenue summaries.

Enables AI agents to interact with Distru's ERP data through read tools and a guarded sales-order draft tool, using realistic fixture data by default or the live public API with an optional token. It provides dry-run writes bound to a confirmation token, JSONL audit logging, and a purchase-order matcher that flags catalog traps instead of guessing.

Enables LLM agents to interact with Squarespace Commerce APIs (products, orders, inventory, transactions) using natural language.

Enables AI agents to interact with Lufa Farms for grocery shopping, including browsing/searching products, managing the basket, and viewing order details.

Connects Claude to your CellarTracker wine cellar, enabling natural language queries for inventory, drinking recommendations, purchase history, and tasting notes.

Enables AI assistants to interact with a Magento 2 or Adobe Commerce MySQL database through 50+ read-only tools for orders, catalog, customers, CMS, configuration, indexers, and diagnostics, with support for local DDEV, Commerce Cloud, and remote/SSH connections.

Enables AI assistants to interact with Milkbasket for grocery shopping, including OTP authentication, product search, cart management, wallet balance checks, and order summaries through natural language.

The official Model Context Protocol adapter for Salesforce Commerce Cloud (B2C). Empower your AI agents to seamlessly navigate headless storefronts, manage e-commerce orders, and interact with complex SCAPI/OCAPI endpoints natively.

Enables AI assistants to interact with the Paxaver school lunch platform, allowing users to check menus, order lunch, manage wallet funds, register for events, donate, and perform administrative tasks like managing restaurants and menu items.

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 that enables AI agents to interact with Chick-fil-A via browser automation for menu search, nutrition info, location finder, and mobile ordering.

Auction house analytics, market intelligence, crafting optimization, inventory valuation, farming routes, guild analytics, and token tracking — all through the Model Context Protocol.

Enables AI agents to discover and interact with business capabilities by reading structured nod.json manifests from domains, supporting actions like ordering, booking, and searching.

An MCP server for the Logiwa IO (WMS) API that lets MCP clients work with warehouse data through tools for products, inventory, orders, and reports.

Enables AI agents to search, browse, and interact with Etsy through browser automation, including product search, cart management, favorites, checkout, and seller messaging.

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.

An MCP server that enables users to interact with KFC's online ordering system via Playwright browser automation. It supports searching the menu, managing an order cart, finding nearby locations, and initiating checkout for pickup or delivery.

A server that enables AI assistants to interact with the Omnisend marketing platform, supporting contact management, product management, and event tracking operations through natural language.

Enables users to interact with Wingstop by finding nearby locations, browsing the menu, and managing orders. It utilizes Playwright browser automation to facilitate checkout, apply promo codes, and check Wing Club rewards status.

Enables AI assistants to interact with the Amazon Advertising API to manage campaigns, keywords, product ads, and retrieve performance metrics.