databasesdeveloper-tools

Store (E-Commerce)

n0119566

by n0119566

TypeScript REST API ecommerce API, customer data API and orders API — retrieve customers, search by name, and lookup ord

Provides a bridge to e-commerce data for retrieving customer information, looking up orders by customer ID, and searching customers by name through a TypeScript-based REST API

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TypeScript-based REST APIDirect database integration

best for

  • / E-commerce platform developers
  • / Customer service representatives
  • / Order management systems
  • / Sales analytics and reporting

capabilities

  • / Retrieve customer information by ID
  • / Look up order history for specific customers
  • / Search customers by name
  • / Query e-commerce database records
  • / Access order details and status

what it does

Connects to e-commerce databases to retrieve customer information and order data through a REST API interface.

about

Store (E-Commerce) is a community-built MCP server published by n0119566 that provides AI assistants with tools and capabilities via the Model Context Protocol. TypeScript REST API ecommerce API, customer data API and orders API — retrieve customers, search by name, and lookup ord It is categorized under databases, developer tools.

how to install

You can install Store (E-Commerce) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Store (E-Commerce) is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

MCP Store

A Model Context Protocol (MCP) server for retrieving customer and order information from a store API.

Overview

This project implements a Model Context Protocol server that provides tools for interacting with a store's customer and order data. It allows Claude to:

  • Get a list of all customers
  • Search for customers by name
  • Retrieve all orders for a specific customer

Prerequisites

  • Node.js (latest LTS version recommended)
  • A local API server running on http://localhost:3000 that provides customer and order data

Installation

# Clone the repository
git clone <repository-url>
cd mcp-store

# Install dependencies
npm install

# Build the project
npm run build

Usage

The MCP server provides the following tools:

get-all-customers

Returns a list of all customers in the store database.

get-customer-by-name

Searches for customers by name and returns all matching results.

Parameters:

  • customerName: The name to search for

get-all-orders-by-customer

Retrieves all orders placed by a specific customer.

Parameters:

  • customerId: The unique identifier for the customer

Data Models

The server works with the following data models:

Customer

interface ICustomer {
  name: string;
  email: string;
  phone?: string;
  address?: {
    street?: string;
    city?: string;
    state?: string;
    zip?: string;
    country?: string;
  };
  createdAt?: Date;
}

Order

interface IOrder {
  customer: string;
  items: IOrderItem[];
  totalAmount: number;
  status?: "pending" | "processing" | "shipped" | "delivered" | "cancelled";
  paymentMethod?: "credit_card" | "debit_card" | "paypal" | "cash";
  createdAt?: Date;
}

interface IOrderItem {
  product: string;
  quantity: number;
  price: number;
}

Product

interface IProduct {
  name: string;
  description?: string;
  price: number;
  category?: string;
  inStock?: boolean;
  createdAt?: Date;
}

Development

To work on this project:

  1. Make changes to the source files in the src directory
  2. Build the project with npm run build

License

ISC

FAQ

What is the Store (E-Commerce) MCP server?
Store (E-Commerce) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Store (E-Commerce)?
This profile displays 57 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.

Use Cases

Direct Database Queries from AI

Enable Claude to query your database directly using natural language

Example

Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly

Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster

Data Analysis & Reporting

Generate complex reports and analytics without leaving conversation

Example

Analyze sales trends, cohort retention, user behavior patterns conversationally

Democratize data access—non-technical team members can query databases

Schema Exploration

Understand database structure, relationships, and data models

Example

'Explain the user_orders table schema and its relationships'

Onboard engineers faster, explore unfamiliar databases efficiently

Data Validation & Quality Checks

Run data quality queries to catch anomalies and inconsistencies

Example

Find duplicate records, missing values, orphaned foreign keys automatically

Maintain data integrity with less manual SQL work

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor with MCP support
  • Database credentials (read-only recommended for safety)
  • Network access from Claude client to database
  • Understanding of database security and access control

Time Estimate

15-30 minutes including configuration and testing

Installation Steps

  1. 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
  2. 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
  3. 3.Provide connection string: host, port, database, username, password
  4. 4.Restart Claude Desktop to load MCP server
  5. 5.Test connection: 'List all tables in database'
  6. 6.Run simple query: 'Show me 5 rows from users table'
  7. 7.Verify results and permissions are correct
  8. 8.Document query patterns for team use

Troubleshooting

  • Connection refused: Check database is running and network accessible
  • Authentication failed: Verify credentials, check user permissions
  • Claude can't see tables: Grant appropriate read permissions to database user
  • Slow queries: Add indexes, limit result set size, use read replicas
  • MCP server not loading: Check config syntax, restart Claude Desktop

Best Practices

✓ Do

  • +Use read-only database credentials to prevent accidental writes
  • +Connect to read replica, not production primary database
  • +Set query timeout limits to prevent long-running queries
  • +Document database schema and common queries for AI context
  • +Monitor query performance and optimize slow queries
  • +Use connection pooling for better performance
  • +Test with non-production data first

✗ Don't

  • Don't use production write credentials—risk of data corruption
  • Don't query production database during peak traffic hours
  • Don't expose sensitive PII without proper access controls
  • Don't skip query result validation—AI can misinterpret schema
  • Don't allow unlimited result set sizes—set LIMIT clauses
  • Don't share database credentials in plain text config files

💡 Pro Tips

  • Create database views for common queries to simplify AI access
  • Add schema comments/descriptions so AI understands column meanings
  • Use semantic table/column names ('customer_lifetime_value' not 'clv')
  • Set up query logging to audit what Claude is querying
  • Create saved query templates for recurring analysis
  • Combine with data visualization tools for better insights

Technical Details

Architecture

MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.

Protocols

  • Model Context Protocol (MCP)
  • Database-specific protocols (PostgreSQL, MySQL, MongoDB)

Compatibility

  • PostgreSQL
  • MySQL
  • SQLite
  • MongoDB
  • Redis

When to Use This

✓ Use When

Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.

✗ Avoid When

Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.

Integration

  • Read replica connection for analytics queries
  • Database view layer to abstract complex joins
  • Query result caching for repeated questions
  • Audit logging of all AI-generated queries

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.857 reviews
  • Nikhil Zhang· Dec 20, 2024

    I recommend Store (E-Commerce) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Noor Jain· Dec 16, 2024

    According to our notes, Store (E-Commerce) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Ganesh Mohane· Dec 12, 2024

    Useful MCP listing: Store (E-Commerce) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakura Agarwal· Dec 4, 2024

    According to our notes, Store (E-Commerce) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Alexander Okafor· Nov 23, 2024

    Useful MCP listing: Store (E-Commerce) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Nikhil Rahman· Nov 11, 2024

    Strong directory entry: Store (E-Commerce) surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Layla Dixit· Nov 7, 2024

    Useful MCP listing: Store (E-Commerce) is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Rahul Santra· Nov 3, 2024

    According to our notes, Store (E-Commerce) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Noor Smith· Oct 26, 2024

    Strong directory entry: Store (E-Commerce) surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Pratham Ware· Oct 22, 2024

    I recommend Store (E-Commerce) for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

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