"An e-commerce platform for building online stores" matching MCP servers:

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.

A Model Context Protocol server that provides real-time access to MongoDB product data, enabling sophisticated e-commerce queries with price range filters, category searching, and product recommendations through a conversational interface.

Enables management of e-commerce operations including products, customers, and orders with full CRUD capabilities, plus data analysis features like sales summaries, top products/customers reports, and inventory tracking.

Read-only MCP access to the p-e relay store: an append-only corpus of provenance-bearing coordination records, with tools to fetch a record by id, list records and replies, and check existence. This image serves a snapshot frozen at build time; append_relay is listed but refused, and deposits to the live store require an HMAC-signed request.

Enables comprehensive product management for e-commerce with CRUD operations, AI-powered product description generation, inventory tracking, and MySQL database integration.

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

Enables management of retail e-commerce products with CRUD operations, AI-powered product description generation, and inventory tracking through SQLite database integration.

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

An MCP control plane for SAP Commerce Cloud that exposes safe, read-only tools to LLM agents for inspecting types, running FlexibleSearch, and validating ImpEx.

MCP server for e-commerce data analysis with 37 specialized tools covering KPIs, customers, products, delivery, sellers, payments, reviews, temporal patterns, cohorts, and advanced analytics.

A Laravel-based Model Context Protocol demonstration that enables users to manage orders and query e-commerce data in Traditional Chinese through an AI-powered chat interface.

Provides tools to query e-commerce data including customer information, order details, and product inventory through a Model Context Protocol interface with test data.

Provides AI tools with direct read access to the Built Online Podcast Command Center data, enabling validation, recommendations, and visibility of missing data without guessing.

Enables AI clients to perform full CRUD operations on e-commerce products stored in MySQL, including search with pagination, AI-powered description generation via sampling, and low-stock inventory monitoring. It also exposes product catalog resources and pre-built prompt templates over both stdio and HTTP/SSE transports.

A Model Context Protocol server that enables full CRUD operations for e-commerce product management, featuring MySQL integration and AI-powered product description generation. It provides tools for inventory monitoring and supports both stdio and HTTP/SSE transports.

An internal MCP server providing Database (SQL execution) and Server (Linux SSH/SFTP) skills with 11 tools, enabling remote execution, risk control, and full audit via Claude Code or other clients.

Enables e-commerce shop owners to query their business data using natural language through local AI models. Provides secure, privacy-focused access to sales reports, inventory management, customer analytics, and order data without sending sensitive information to external services.

Provides secure, read-only access to VTION e-commerce analytics data through MCP protocol. Enables AI agents to query PostgreSQL databases, discover schemas, and analyze product, order, and customer data with automatic query validation and parallel execution.

Connects LLMs to a PostgreSQL e-commerce database for sports supplements, enabling natural language product search, order management, and customer operations.

Enables MCP hosts like ChatGPT and Claude to query data platform metadata, explore schemas and tables, inspect SQL explain plans, and monitor DAG and ETL status through standardized tools.