"GitHub Project or Tool Related to Cursor Functionality" matching MCP servers:

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.

Enables users to interact with an e-commerce shopping assistant using natural language to search products, check prices and ratings, compare items, and get personalized recommendations.

Enables AI assistants and MCP clients to search Pyaterochka stores, browse categories, find products with filters for price, brand, and promotions, and retrieve product details, store hours, and promotion conditions through the exposed MCP tools.

Enables WordPress site management through Cursor IDE, providing abilities for content operations, plugin/theme management, WooCommerce, and hosting configuration guides.

Enables AI assistants to programmatically customize Shopify Plus checkout branding, including colors, typography, logos, and design systems, with safety defaults for production updates.

Connects AI agents to Mercado Pago, the leading payment platform in Latin America. Create payment links, search payments, get payment details, issue refunds, and retrieve merchant info.

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.

Enables users to search, read, and create ecommerce email marketing assets such as campaigns, automations, popups, and landing pages, manage sending-domain setup, and with confirmation schedule/send campaigns or publish/pause assets.

Exposes a fictional smart-home store's REST API to agents as schema-validated MCP tools, resources, and prompts, letting them search products, check inventory, place atomic orders, look up customers and orders, and open support tickets. It also adds auth injection, rate limiting, REST-to-MCP error mapping with actionable hints, per-call JSONL tracing, and a golden-task eval harness for tool selection and argument correctness.

Enables users to compare two brands in real-time by fetching Google Shopping data via SerpAPI, calculating price and rating statistics, and generating AI-powered value-for-money comparisons using Hugging Face LLMs.

Provides tools for interacting with a staged Costco warehouse catalog, cart, and member data via a streamable HTTP MCP endpoint.

Enables Claude Desktop users to turn a Path of Exile 2 character concept into a playable build plan, including skills, supports, passive tree paths, leveling phases, gear/stat priorities, viability estimates, and trade search links. It can export the resulting plan into the game's Build Planner.

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

MCP server to help manage a WHMCS installation.

Enables agents to perform structured shopping actions and retrieve targeted product images for visual comparison, matching, and aesthetic recommendations.

An MCP server that connects Claude to the Ravelry API, letting knitters and crocheters search for patterns, find yarn, and calculate how much to buy — all through natural language.

Enables AI agents to securely search products, obtain signed quotes, create checkouts, and track orders without directly handling prices or payment amounts, enforcing spending policies and audit trails.

Enables users to query an e-commerce MySQL database in plain English, using AI to generate and execute read-only SQL queries securely through MCP.

Enables eBay sellers to manage inventory, view orders, handle messages, and browse listings through AI assistants using eBay seller APIs.

Enables an AI to perform customer support workflows by looking up customers, retrieving orders, and creating support tickets through MCP tools.