Shopify MCP Server

Created By
siddhantbajaja year ago
Overview

what is Shopify MCP Server?

Shopify MCP Server is a Model Context Protocol (MCP) server designed to connect clients like Claude with Shopify store data, allowing for easy retrieval of product and customer information.

how to use Shopify MCP Server?

To use the Shopify MCP Server, clone the repository, set up a virtual environment, install the package, configure your Shopify API credentials in a .env file, and start the server to access the tools.

key features of Shopify MCP Server?

  • Retrieve product and customer lists from your Shopify store.
  • Easy integration with Shopify API.
  • Supports Model Context Protocol for AI-powered tools.

use cases of Shopify MCP Server?

  1. Automating product data retrieval for inventory management.
  2. Integrating customer data into AI applications.
  3. Building custom applications that require Shopify store data.

FAQ from Shopify MCP Server?

  • What are the prerequisites for using Shopify MCP Server?

You need Python 3.12 or higher, a Shopify store with API access, and valid Shopify API credentials.

  • Is there a limit on the number of products or customers I can retrieve?

Yes, you can specify a limit for the number of products or customers returned, with a default of 10.

  • How do I keep my API credentials secure?

Use environment variables and never commit your .env file to version control.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
siddhantbajaj
Star
-
Language
-
License
-

Recommend Servers

View All
Crevio

a day ago
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

19 hours ago