
Rami Levy MCP Server
Enables interaction with the Rami Levy Online Grocery Store API, allowing users to perform product searches, add or remove items from their cart, and prepare for checkout, all while integrating with MCP-enabled LLMs.
shilomagen
Tools
add_to_cart
Add one or more items to the shopping cart
remove_from_cart
Remove items from the cart by providing an updated list of items to keep
update_quantity
Update the quantity of an item in the cart
search_items
Search for items in the Rami Levy catalog
README
Rami Levy MCP Server
MCP Server for the Rami Levy Online Grocery Store API. This is a proof of concept implementation that demonstrates how to integrate Rami Levy's e-commerce platform with MCP-enabled LLMs.
Tools
-
search_items
- Search for products in Rami Levy's catalog
- Inputs:
q
(string): Search querystore
(string, optional): Store identifier (default: "331")aggs
(number, optional): Aggregation flag (default: 1)
- Returns: Array of products with name, price, image URL, and ID
-
add_to_cart
- Add one or more items to the shopping cart
- Inputs:
store
(string): Store identifier (e.g., "331")items
(array): List of items to add, each containing:id
(number): Product identifierquantity
(number): Quantity to add (minimum: 1)
- Returns: Updated cart contents with prices and discounts
-
remove_from_cart
- Remove items from the cart by providing an updated list of items to keep
- Inputs:
store
(string): Store identifieritems
(array): Updated list of items to keep in cart
- Returns: Updated cart contents
-
update_quantity
- Update the quantity of an item in the cart
- Inputs:
store
(string): Store identifierid
(number): Product identifiernewQuantity
(number): New quantity for the product (minimum: 1)
- Returns: Updated cart contents
Resources
rami-levy://checkout
- Get the URL for the Rami Levy checkout page
- Returns: Checkout page URL
Setup
Authentication
This MCP server requires authentication tokens from an active Rami Levy session. To obtain these:
- Log in to Rami Levy's website
- Open your browser's developer tools (F12)
- Go to the Network tab
- Make any request (e.g., search for a product)
- From the request headers, extract:
RAMI_LEVY_API_KEY
: The token after "Bearer" in the Authorization headerECOM_TOKEN
: The full ecomtoken header valueCOOKIE
: The complete cookie header value
Environment Variables
Create a .env
file with the following variables:
RAMI_LEVY_API_KEY=your_api_key_here
ECOM_TOKEN=your_ecom_token_here
COOKIE=your_cookie_string_here
Usage with Claude Desktop
Add the following to your claude_desktop_config.json
:
{
"mcpServers": {
"rami-levy": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-rami-levy"
],
"env": {
"RAMI_LEVY_API_KEY": "<YOUR_API_KEY>",
"ECOM_TOKEN": "<YOUR_ECOM_TOKEN>",
"COOKIE": "<YOUR_COOKIE>"
}
}
}
}
Development
- Install dependencies:
npm install
- Build the project:
npm run build
- Start the server:
npm start
Security Considerations
⚠️ Important: This is a proof of concept implementation. Please note:
- The authentication tokens provide full access to your Rami Levy account
- Tokens should be kept secure and never committed to version control
- Tokens expire periodically and will need to be refreshed
- This implementation is not intended for production use without proper security review
Limitations
- Session tokens expire and need to be manually refreshed
- Some features of the Rami Levy API are not implemented (e.g., user profile, order history)
- Error handling for expired sessions could be improved
- No rate limiting implementation
Contributing
Issues and pull requests are welcome! Please ensure you don't commit any sensitive information like authentication tokens.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Disclaimer
This is an unofficial project and is not affiliated with or endorsed by Rami Levy Chain Stores Ltd. All product names, logos, and brands are property of their respective owners.
Recommended Servers
TripleWhale MCP Server
An implementation of Model Context Protocol (MCP) that allows users to interact with TripleWhale's e-commerce analytics platform using natural language queries through Claude Desktop.
actors-mcp-server
Use 3,000+ pre-built cloud tools from Apify, known as Actors, to extract data from websites, e-commerce, social media, search engines, maps, and more
BigGo MCP Server
A Model Context Protocol server enabling product searches across e-commerce platforms, price history tracking, and product specification-based searches using natural language prompts.
Bitrefill Search and Shop
This MCP wraps Bitrefill public API to allow agents to search for products and shop using cryptocurrencies like Bitcoin, Ethereum, Solana, and many more.

Uber Eats MCP Server
A proof-of-concept server implementing the Model Context Protocol that enables LLM applications to interact with Uber Eats functionality.
MCP Server for Ticketmaster Events
Provides tools for discovering events at Madison Square Garden via the Ticketmaster API, returning structured data with event details like name, date, price, and ticket purchase links.
Webflow MCP Server
Enables Claude to interact with Webflow's APIs for managing sites, retrieving information, and executing tasks using natural language.
WooCommerce MCP Server
WooCommerce MCP Server enables interaction with WooCommerce stores through the WordPress REST API. It provides comprehensive tools for managing all aspects of products, orders, customers, shipping, taxes, discounts, and store configuration using JSON-RPC 2.0 protocol.

MercadoLibre MCP Server
Enables interaction with MercadoLibre's API for product search, reviews, descriptions, and seller reputation insights.
Uber Eats MCP Server
A proof-of-concept Model Context Protocol server that enables LLM applications to interact with Uber Eats, allowing AI agents to browse and order food through natural language.