Store (E-Commerce)▌
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
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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:
- Make changes to the source files in the
srcdirectory - 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.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
- 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
- 3.Provide connection string: host, port, database, username, password
- 4.Restart Claude Desktop to load MCP server
- 5.Test connection: 'List all tables in database'
- 6.Run simple query: 'Show me 5 rows from users table'
- 7.Verify results and permissions are correct
- 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
4.8★★★★★57 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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