"How to view Shopify order and product selling details" matching MCP servers:

Enables product search functionality via MCP, allowing Claude to search products by keyword with filters, list categories, and retrieve product details.

Provides a memory server for coding agents over MCP, capturing and retrieving the meaning and rationale behind code decisions down to the function level. It enables agents to search product memory, get task context, and propose new memories to avoid re-deriving or re-breaking past decisions.

An MCP server for rendering common ECharts visualizations from structured tool arguments, exposing per-chart opener tools that map to independent HTML app resources.

Enables managing software delivery from intake through stabilization via an evidence-gated hierarchical state machine, with tools for transitions, work items, blocking, resuming, and status rendering.

MCP server enabling AI agents to trace and resolve order synchronization incidents between an ERP (Odoo) and multiple marketplaces.

A read-only MCP server that exposes the full Shopify Admin GraphQL API through 6 universal tools, with multi-store support and mutation rejection at the parser level for safety.

Free, open-source MCP server that connects Claude to the Shopify Partner API. 25 tools for revenue analytics, churn analysis, retention cohorts, merchant health scoring, conversion funnels, revenue forecasting, and growth velocity.

A read-only MCP server that lets AI assistants answer Shopify store operations questions via tools like get_shop, list_products, get_product, and list_orders.

Enables AI assistants to forecast revenue and demand for Shopify stores using Google's TimesFM model. Provides tools for revenue forecasting, demand analysis, promotion analysis, and anomaly detection.

Provides a governed analytics layer over synthetic product data, exposing MCP tools for investigating product metrics, slicing by dimensions, and comparing periods while preventing unrestricted SQL access.

Manage multiple Shopify stores through 55 tools with explicit store selection and separate credentials. Includes products, collections, inventory, discounts, images, reports, interactive results, and temporary storefronts with Shopify claim links.

Enables AI assistants like Cursor or Claude Desktop to fully manage a Shopify store using the Model Context Protocol, with tools for products, orders, customers, inventory, discounts, and analytics.

Connects your Shopify store data to Claude Desktop, enabling access to products, orders, customers, inventory, and more through natural language.

Shopify MCP server with working analytics (ShopifyQL), auto-refresh auth, and Shopify API 2026-04. Fixed broken tools from other packages real sales reports, no silent token expiry, no runtime crashes

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

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

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables AI hosts to validate, write to disk, hot-reload, preview, and export single-file HTML prototypes built to the Spark OP design spec, serving them locally at 127.0.0.1:5179 by slug. Also bundles the triggering skill, spec references, templates, and CSS tokens so agents can create, revise, and hand off development-ready prototype HTML through one controlled output path.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.