Fake Store API MCP Server
# Fake Store API MCP Server
A [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server that provides seamless access to the [Fake Store API](https://fakestoreapi.com) for AI assistants. Perfect for e-commerce demos, testing, and learning MCP development.
## Features
- 🛍️ **Complete E-commerce Data Access**: Products, carts, and users
- 🔧 **18 MCP Tools**: Full CRUD operations for all resources
- 📦 **Easy Integration**: Works with Claude Desktop, Plugged.in, and other MCP clients
- 🚀 **Zero Configuration**: Works out of the box with Fake Store API
- 📝 **TypeScript**: Fully typed for better development experience
- ✅ **Input Validation**: Comprehensive parameter validation
## Installation
### NPX (Recommended)
```bash
npx -y mcp-server-fakestore
```
### From Source
```bash
git clone https://github.com/yourusername/mcp-server-fakestore.git
cd mcp-server-fakestore
npm install
npm run build
```
## Configuration
### Claude Desktop
Add this to your Claude Desktop configuration file:
**macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`
**Windows**: `%APPDATA%/Claude/claude_desktop_config.json`
```json
{
"mcpServers": {
"fakestore": {
"command": "npx",
"args": ["-y", "mcp-server-fakestore"]
}
}
}
```
### Plugged.in
Add this server configuration in Plugged.in MCP settings:
```json
{
"name": "fakestore",
"command": "npx",
"args": ["-y", "mcp-server-fakestore"]
}
```
## Available Tools
### Products (7 tools)
- `fakestore_get_products` - Get all products with optional limit and sorting
- `fakestore_get_product` - Get a single product by ID
- `fakestore_get_categories` - Get all product categories
- `fakestore_get_products_by_category` - Get products in a specific category
- `fakestore_add_product` - Add a new product (simulation)
- `fakestore_update_product` - Update an existing product (simulation)
- `fakestore_delete_product` - Delete a product (simulation)
### Carts (6 tools)
- `fakestore_get_carts` - Get all carts with optional limit and sorting
- `fakestore_get_cart` - Get a single cart by ID
- `fakestore_get_user_carts` - Get all carts for a specific user
- `fakestore_add_cart` - Add a new cart (simulation)
- `fakestore_update_cart` - Update an existing cart (simulation)
- `fakestore_delete_cart` - Delete a cart (simulation)
### Users (5 tools)
- `fakestore_get_users` - Get all users with optional limit and sorting
- `fakestore_get_user` - Get a single user by ID
- `fakestore_add_user` - Add a new user (simulation)
- `fakestore_update_user` - Update an existing user (simulation)
- `fakestore_delete_user` - Delete a user (simulation)
## Usage Examples
### With Claude Desktop
**Get all products:**
```
Show me all products from the fake store
```
**Search by category:**
```
Show me electronics from the fake store
```
**Get user's cart:**
```
What's in user ID 1's shopping cart?
```
**Product analysis:**
```
Find the 5 most expensive products in the store
```
### Programmatic Usage
```typescript
import { Server } from '@modelcontextprotocol/sdk/server/index.js';
// The server runs on stdio transport
// Connect your MCP client to interact with the tools
```
## Data Structure
### Product
```typescript
{
id: number;
title: string;
price: number;
description: string;
category: string;
image: string;
rating: {
rate: number;
count: number;
};
}
```
### Cart
```typescript
{
id: number;
userId: number;
date: string;
products: Array<{
productId: number;
quantity: number;
}>;
}
```
### User
```typescript
{
id: number;
email: string;
username: string;
password: string;
name: {
firstname: string;
lastname: string;
};
address: {
city: string;
street: string;
number: number;
zipcode: string;
geolocation: {
lat: string;
long: string;
};
};
phone: string;
}
```
## Development
```bash
# Install dependencies
npm install
# Build the project
npm run build
# Watch mode for development
npm run watch
# Run tests
npm test
```
## Important Notes
- **Simulation**: The Fake Store API is read-only. POST, PUT, and DELETE operations return simulated responses but don't persist data.
- **Rate Limits**: The public API has no strict rate limits, but please be respectful.
- **Data**: All data is fake and for testing purposes only.
## Troubleshooting
### Server not appearing in Claude Desktop
1. Ensure the configuration file is valid JSON
2. Restart Claude Desktop completely
3. Check the Claude Desktop logs for errors
### Tools not working
1. Verify you have an active internet connection (API requires connectivity)
2. Check if fakestoreapi.com is accessible
3. Review error messages in Claude Desktop logs
## Contributing
Contributions are welcome! Please:
1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request
## License
MIT License - see [LICENSE](LICENSE) file for details.
## Resources
- [Fake Store API Documentation](https://fakestoreapi.com/docs)
- [Model Context Protocol Documentation](https://modelcontextprotocol.io)
- [MCP TypeScript SDK](https://github.com/modelcontextprotocol/typescript-sdk)
## Support
- 🐛 [Report Issues](https://github.com/yourusername/mcp-server-fakestore/issues)
- 💬 [Discussions](https://github.com/yourusername/mcp-server-fakestore/discussions)
- 📧 Email: your.email@example.com
---
Built with ❤️ for the MCP community
TDQS
Scored across 18 tools
Every tool has a clearly distinct purpose targeting specific resources (cart, product, user) and actions (add, delete, get, update), with no overlap or ambiguity. For example, fakestore_get_products and fakestore_get_products_by_category are clearly differentiated by scope.
All tools follow a consistent verb_noun pattern with the prefix 'fakestore_' and snake_case throughout, such as fakestore_add_product and fakestore_get_user_carts. There are no deviations in naming conventions.
With 18 tools, the count is slightly high but reasonable for a store API covering three main resources (cart, product, user) with full CRUD operations and additional query tools. It feels comprehensive without being overly bloated.
The tool set provides complete CRUD coverage for carts, products, and users, along with additional query tools like get_categories and get_products_by_category. There are no obvious gaps, enabling agents to handle all core store operations effectively.