Superprecio MCP Server
Enables AI assistants to search products, compare prices, and find the best deals across multiple supermarkets in Argentina through Superprecio's price comparison API. Transforms Claude into an expert shopping assistant for Latin American grocery shopping.
README
Superprecio MCP Server
A Model Context Protocol (MCP) server that provides AI assistants with access to Superprecio's price comparison functionality for supermarkets in Argentina (with plans to expand to all Latin America).
Overview
This MCP server transforms Claude (or any MCP-compatible AI assistant) into an expert price comparison assistant for Argentina. It provides real-time access to product prices, deals, and availability across multiple supermarkets.
Features
🛠️ Tools
The server provides 6 powerful tools:
- search_products - Search for products by name across all supermarkets
- search_by_code - Find products by EAN/barcode
- compare_prices - Compare prices and find the best deals
- get_best_deals - Discover current promotions and discounts
- send_notification - Send push notifications about deals (requires Firebase)
- subscribe_device - Subscribe devices to price alerts (requires Firebase)
📚 Resources
- supermarket://list - List of all available supermarkets
- supermarket://[id]/info - Detailed information about a specific supermarket
💬 Prompts
- price_expert - Transform Claude into an Argentina shopping expert
Prerequisites
- Node.js 18.0.0 or higher
- Access to Superprecio API (production) or a local instance
Installation
Option 1: Use with npx (Recommended)
Once published to npm, you can use directly with:
npx superprecio-mcp
Option 2: Install Globally
npm install -g superprecio-mcp
Option 3: Local Development
# Clone the repository
git clone https://github.com/bunkerapps/superprecio_mcp.git
cd superprecio_mcp
# Install dependencies
npm install
# Build the project
npm run build
# Run the server
npm start
Configuration
Create a .env file in the project root:
# Copy the example file
cp .env.example .env
Edit .env with your settings:
# Superprecio API URL (required)
# Use production API or your local instance
SUPERPRECIO_API_URL=https://superprecio.ar
# Request timeout in milliseconds (optional)
REQUEST_TIMEOUT=30000
# Enable debug logging (optional)
DEBUG=false
Usage with Claude Desktop
Add this server to your Claude Desktop configuration:
macOS
Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"superprecio": {
"command": "npx",
"args": ["superprecio-mcp"],
"env": {
"SUPERPRECIO_API_URL": "https://superprecio.ar"
}
}
}
}
Windows
Edit %APPDATA%/Claude/claude_desktop_config.json with the same configuration.
Using Local Installation
If you installed locally or are developing:
{
"mcpServers": {
"superprecio": {
"command": "node",
"args": ["/absolute/path/to/superprecio_mcp/build/index.js"],
"env": {
"SUPERPRECIO_API_URL": "https://superprecio.ar"
}
}
}
}
Example Conversations
Once configured, you can ask Claude:
Search for Products
You: "Busca el arroz más barato"
Claude: *Uses search_products and compare_prices tools*
"El arroz más barato está en [Supermercado] por $2,450..."
Compare Prices
You: "Compara precios de leche en todos los supermercados"
Claude: *Uses compare_prices tool*
"Aquí está la comparación de precios de leche:
1. Supermercado A: $850
2. Supermercado B: $750 🏆 MEJOR PRECIO
3. Supermercado C: $890
¡Puedes ahorrar $140 comprando en Supermercado B!"
Find Best Deals
You: "¿Cuáles son las mejores ofertas de hoy en cereales?"
Claude: *Uses get_best_deals tool*
"Aquí están las mejores ofertas en cereales:
1. Corn Flakes en [Supermercado] - $2,100 (15% OFF)
2. ..."
Use the Price Expert Prompt
You: "Use the price_expert prompt"
Claude: *Becomes an Argentina shopping expert*
"¡Hola! Soy tu experto en supermercados de Argentina.
¿Cómo puedo ayudarte a ahorrar dinero hoy?"
API Reference
Tools
search_products
{
query: string; // Product name (e.g., "leche descremada")
maxResults?: number; // Results per store (1-50, default: 9)
sortBy?: string; // "OrderByTopSaleDESC" | "OrderByPriceASC" | "OrderByPriceDESC"
}
search_by_code
{
code: string; // EAN/barcode (usually 13 digits)
}
compare_prices
{
productName: string; // Product to compare
maxResults?: number; // Results to analyze per store (1-20, default: 5)
}
get_best_deals
{
category: string; // Category (e.g., "lácteos", "cereales")
maxResults?: number; // Deals per store (1-30, default: 10)
}
send_notification
{
title: string; // Notification title
message: string; // Notification body
deviceToken?: string; // Optional: specific device (else broadcasts)
data?: object; // Optional: custom data
}
subscribe_device
{
deviceToken: string; // Firebase Cloud Messaging token
}
Resources
supermarket://list- Returns JSON with all supermarketssupermarket://[id]/info- Returns JSON with specific supermarket details
Prompts
price_expert- Takes optionalfocusargument
Development
# Install dependencies
npm install
# Watch mode (rebuilds on changes)
npm run dev
# Build for production
npm run build
# Run built server
npm start
Architecture
superprecio_mcp/
├── src/
│ ├── index.ts # Main MCP server
│ ├── client/
│ │ └── superPrecioApi.ts # HTTP client for Superprecio API
│ ├── tools/ # MCP tool implementations
│ ├── resources/ # MCP resource handlers
│ ├── prompts/ # MCP prompt templates
│ └── types/ # TypeScript type definitions
├── build/ # Compiled JavaScript
└── package.json
How It Works
- MCP Server: Runs as a stdio-based server that communicates with Claude
- HTTP Client: Makes requests to your Superprecio API instance
- Tools: Expose Superprecio functionality as MCP tools
- Resources: Provide access to supermarket data
- Prompts: Transform Claude into a shopping expert
Troubleshooting
"Could not connect to Superprecio API"
- Verify API is accessible:
curl https://superprecio.ar - Check
SUPERPRECIO_API_URLin your configuration - Ensure there are no firewall issues
"Unknown tool" errors
- Restart Claude Desktop after configuration changes
- Verify the MCP server is running (check Claude Desktop logs)
Debug Mode
Enable debug logging:
DEBUG=true
This will log all API requests/responses to stderr.
Contributing
Contributions are welcome! Please:
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
License
MIT License - see LICENSE file for details
Credits
- Built with Model Context Protocol SDK
- Integrates with Superprecio
Support
For issues and questions:
- GitHub Issues: https://github.com/bunkerapps/superprecio_mcp/issues
- Superprecio Website: https://superprecio.ar
Made with ❤️ in Argentina for Latin American shoppers
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.