"Ecommerce" matching MCP servers:

Enables AI to view and manage e-commerce data such as products, orders, and coupons, and perform actions like updating prices, stock, and generating sales reports.

Enables read-only, local browser-based access to logged-in sessions on Xianyu, Taobao/Tmall, JD, and Pinduoduo for product search, detail inspection, link building/parsing, and cookie status checks, without chat, cart, ordering, or payment actions.

A read-only stdio MCP server that lets an agent query sales, inventory, promotions and advertising for an exact SKU across fixed windows, inspect row-level source evidence, and produce margin-constrained action drafts alongside recomputable, deterministic report reviews.

Enables natural-language querying and safe read/write access to a small e-commerce SQLite database through MCP tools, including schema inspection, SELECT queries, and explicitly confirmed mutations.

Enables agents to prepare inputs, generate, resume, validate, and revise ecommerce competitor images while preserving reference composition and product/brand details, with persistent task tracking and credential storage.

A fashion vertical MCP server providing tools for product SEO audits and trend analysis to integrate with AI agents like Claude, Cursor, and Codex.

Exposes database queries (Users, Products, Orders) from a NestJS backend to AI agents via MCP, enabling real-time database interactions in chat sessions.

Automates cross-platform e-commerce sourcing between JD and Taobao using AI-driven browser automation to search, extract product details, compare prices, and identify profitable arbitrage opportunities.

Enables natural-language querying of an e-commerce dataset by providing a LangChain agent that uses tools to execute parameterized SQL queries on a SQLite database, with short-term memory and Streamlit or Claude Desktop interfaces.

Enables e-commerce customer service agents to retrieve product catalog and return/delivery policy documents through multi-source RAG with RRF fusion, exposing product_search and policy_qa tools for grounded, cited responses.

Enables AI agents to manage products across multiple Korean e-commerce platforms (Naver SmartStore, Coupang, 11st, Gmarket) including listing, updating, and suspending, with preview and approval before execution.

Local MCP server that turns Mark Builds Brands' YouTube knowledge into an AI coaching assistant for ecommerce and Facebook Ads.

MCP server for creating, listing, inspecting, and validating tracking plans for ecommerce and lead-generation businesses, with JSON storage and TypeScript implementation.

Enables cross-border ecommerce support teams to analyze logistics exceptions, retrieve citable policies, draft bilingual customer replies, and create idempotent tickets under human confirmation.

Provides e-commerce customer support tools for order status, delivery, account, and policy questions, with RAG-grounded retrieval and strict authorization checks over mock data.

Enables developers to search official documentation offline, explain configuration files, look up CLI commands and REST/GraphQL APIs, and scaffold modules, plugins, observers, controllers, and database tables without network access or credentials.

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.

Look up EU HS chapters and headings, read listing requirements for 12 commerce channels, and screen product copy for environmental claims in four languages. All three tools run offline and are read-only.

Enables AI agents to create, compare, and track purchases with structured buying workflows, offer comparison, and merchant verification.

A suite of MCP servers that give AI agents read-only access to Chinese e-commerce platform business data, including advertising, orders, products, and more from platforms like Douyin, JD.com, Taobao, etc.

Enables searching, creating, updating, publishing, and unpublishing Shopify products through the Admin GraphQL API, with secure local credential configuration for MCP clients.

Enables auditing Google Tag Manager containers, checking GA4 ecommerce event coverage, previewing and applying workspace edits as dry-run diffs, and publishing versions with explicit confirmation. Runs locally over stdio with your own Google OAuth account, enforcing read-only or read/write/publish profiles and client-side rate limiting.

Exposes Shopify store data from SLAM Gadget SQLite databases to AI tools through 60 specialized tools for products, orders, inventory, customers, and reporting. Provides read-only access with automatic schema validation and security protections.

Aggregates quick commerce platforms like Zepto, Swiggy Instamart, and BigBasket for searching, comparing prices, and ordering through a single MCP interface.

Enables analysis of cross-border e-commerce data from imported JSON reports, providing tools for order, product, inventory, profit, advertising, creator, and customer service analytics using deterministic formulas.

Enables automated product management on Shopee, TikTok Shop, and Lazada by controlling an existing Chrome or Edge browser session, intercepting internal APIs for fast updates, and pausing for captcha resolution.

Enables natural-language control of e-commerce operations including product management, order processing, inventory tracking, customer service, content generation, and advertising analytics through 15 integrated MCP tools. Provides a local-first commerce automation solution with SQLite storage and extensible channel adapters for end-to-end online store workflows.

Enables agents to analyze cart items and intent, compute product complementary affinity scores, respect merchant margin constraints, and synthesize personalized discount bundles for cross-sell recommendations.

Enables agents to translate natural-language shopping intent into aggregated multi-merchant item discovery, consolidated cross-merchant carts, and structured transaction checkout payloads. Runs as a zero-dependency, MCP-compatible engine that can also be imported directly as a Python module.

Enables creating and managing BeatAPI AI Music Video and Ecommerce Video workflows. Supports inspecting workflows, credits, usage, uploading files, creating tasks, polling tasks, and managing webhooks.