MCP server for Coles and Woolworths product search
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-hung-ngm-coles-woolies-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# 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. <a href="https://glama.ai/mcp/servers/@hung-ngm/coles-woolworths-mcp-server"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@hung-ngm/coles-woolworths-mcp-server/badge" alt="coles-woolworths MCP server" /> </a> ## 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 1. Clone this repository ```bash git clone https://github.com/hung-ngm/coles-woolworths-mcp-server.git ``` 2. Navigate to the project directory ```bash cd coles-woolies-mcp ``` 3. Install the [prerequisites](#prerequisites) 4. Configure your MCP client to use this server (see [Integrating with MCP Clients](#integrating-with-mcp-clients)) ## Installation ### Prerequisites 1. Python 3.8 or higher 2. The `uv` package manager ### Installing uv uv is a fast Python package installer and resolver. To install: #### macOS/Linux: ```bash curl -LsSf https://astral.sh/uv/install.sh | sh ``` #### Windows: ```bash powershell -c "irm https://astral.sh/uv/install.ps1 | iex" ``` ### Setup 1. Clone the repository and navigate to the project directory 2. Use `uv` to install dependencies: ```bash # Install dependencies uv pip install fastmcp requests python-dotenv ``` ## …
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.