Coles and Woolworths MCP Server
Search for products and compare prices at Coles and Woolworths supermarkets in Australia.
Coles and Woolworths MCP Server
An experimental Model Context Protocol (MCP) server implementation that allows AI assistants to search for product information from Australia's major supermarkets: Coles and Woolworths. This server exposes product search functionality through the MCP protocol, making it easy for AI assistants to retrieve product pricing and details.
Demo
Use with Claude Desktop
https://github.com/user-attachments/assets/0af3b07a-578a-4112-acfe-e7a7eee31161
Features
- Product Search: Search for products at both Coles and Woolworths supermarkets
- Price Comparison: Get pricing information from both retailers in a consistent format
- Store Selection: Search specific Coles stores using store IDs
- Result Limiting: Control how many products are returned in search results
Quick Start for Claude Desktop, Cursor, and other clients
- Clone this repository
git clone https://github.com/hung-ngm/coles-woolworths-mcp-server.git
- Navigate to the project directory
cd coles-woolies-mcp
-
Install the prerequisites
-
Configure your MCP client to use this server (see Integrating with MCP Clients)
Installation
Prerequisites
- Python 3.8 or higher
- The
uvpackage manager
Installing uv
uv is a fast Python package installer and resolver. To install:
macOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
Windows:
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
Setup
- Clone the repository and navigate to the project directory
- Use
uvto install dependencies:
# Install dependencies
uv pip install fastmcp requests python-dotenv
Configuration
The server uses the following environment variables:
COLES_API_KEY: API key for accessing the Coles API (required for Coles product searches)
You can set these variables in a .env file in the project directory.
Running the Server
To run the Coles and Woolworths MCP server directly using uv:
uv run main.py
By default, the server runs with stdio transport for MCP client integration.
Integrating with MCP Clients
Claude Desktop Configuration
To use the Coles and Woolworths MCP server with Claude Desktop:
- Locate your Claude Desktop configuration file (usually
claude_desktop_config.json) - Add the following configuration to the
mcpServerssection:
{
"mcpServers": {
"coles-woolies-mcp": {
"command": "uv",
"args": [
"run",
"--with",
"fastmcp",
"--with",
"requests",
"--with",
"python-dotenv",
"fastmcp",
"run",
"/full/path/to/coles-woolies-mcp/main.py"
]
}
}
}
Replace /full/path/to/coles-woolies-mcp/main.py with the absolute path to your main.py file.
- Restart Claude Desktop for the changes to take effect
Cursor IDE Configuration
To integrate with Cursor IDE:
- Open your Cursor configuration file
- Add the following to the
mcpServerssection:
{
"mcpServers": {
"coles-woolies-mcp": {
"command": "uv",
"args": [
"run",
"--with",
"fastmcp",
"--with",
"requests",
"--with",
"python-dotenv",
"fastmcp",
"run",
"/full/path/to/coles-woolies-mcp/main.py"
]
}
}
}
Available Tools
The Coles and Woolworths MCP server exposes the following tools:
get_coles_products: Search for products at Coles supermarkets with optional store selectionget_woolworths_products: Search for products at Woolworths supermarkets
Example Usage in Claude
You can use the tools in Claude like this:
Could you check the price of Cadbury chocolate at both Coles and Woolworths?
Claude will then use the appropriate tools to search for the products and return the results.
Requirements
- Python 3.8 or higher
- fastmcp package
- requests package
- python-dotenv package
- MCP-compatible client (Claude Desktop, Cursor, etc.)
Related Servers
Lancelot-MCP
A containerized MCP server for LanceDB vector search, featuring hybrid processing with Gemini and Ollama.
Memvid
Encodes text data into videos that can be quickly looked up with semantic search.
Geocoding Tool
Convert city names and locations into latitude and longitude coordinates using the free OpenStreetMap Nominatim API. No API key is required.
Perplexity
Interacting with Perplexity
Pearch
Best people search engine that reduces the time spent on talent discovery.
MCP RAG
A managed Retrieval-Augmented Generation (RAG) server using MCP, integrated with knowledge bases and OpenSearch.
google-maps-mcp-server
STDIO-based MCP server for Google Maps Platform APIs
Ferryhopper MCP Server
The Ferryhopper MCP Server exposes ferry routes, schedules and booking redirects so an AI assistant can discover connections across Europe and the Mediterranean and send users to Ferryhopper to complete bookings.
Hardcover
MCP Server to fetch Books, Book Series, and User Books from Hardcover
Azure AI Search
Search content using Azure AI Agent Service and Azure AI Search.