EveryHourDeal Shopping
com.everyhourdealv1.0.0Updated Oct 1, 2026
Search, compare and get deals on 1,800 US-warehouse home, patio, gym and pet products.
Overview
AI-generated overview
Lets an assistant search and compare deals on roughly 1,800 US-warehouse home, patio, gym and pet products.
- What it does
- This remote MCP server connects an assistant to a shopping catalog covering about 1,800 products held in US warehouses, spanning home, patio, gym and pet categories. According to its description, it supports searching that catalog, comparing items and surfacing deals. No individual tools are listed in the manifest, so the exact operations available are not documented here.
- When to use it
- Worth considering when a user wants an assistant to look up, compare or find deals on home, patio, gym or pet products stocked in US warehouses. Less relevant for categories outside that catalog or for retailers other than this one.
- Requirements
- A remote streamable HTTP endpoint; nothing to install locally. The manifest declares no authentication, no environment variables and no headers, so no credentials appear to be needed. Network access to the provider's endpoint is required.
Before you install
The manifest declares no authentication and no credentials, so nothing secret is requested. The description mentions deals and a checkout-related endpoint, but no payment, ordering or write tools are documented, so it is unclear whether any purchase action is possible; confirm before relying on it. Product data comes from the provider's own catalog.
Installation
In SourceWeft
- Open EveryHourDeal Shopping in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"shopping": {
"type": "http",
"url": "https://everyhourdeal-checkout.cybermax-tools.workers.dev/mcp"
}
}
}Tools
0Tool metadata has not been indexed yet.
Version history
1- v1.0.0LatestOct 1, 2026
