mcpField
W
WEM Price Compare

WEM Price Compare

Remote

About WEM Price Compare

Price comparison across partner retailers. Read-only, 90-day history, disclosed affiliate

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://wem3.ai/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

11
ParameterTypeRequiredDescription
gtinstringNoA product barcode (EAN/UPC/GTIN) the host already has. When given, retailer sources are searched by this barcode instead of by the query words.
limitnumberNoHow many listings to request from each retailer source (default 10, max 30). The combined list can hold more.
querystringYesA product name, or an identifier: barcode (EAN/UPC/GTIN), ASIN, MPN, merchant SKU, WEM ID or wem3.ai/pl URL. Several identifiers may be comma-separated.
sort_byenumNoOrder of the live retailer listings (default relevance). Not applied when the query identifies a product.relevance | price_asc | price_desc | rating
categorystringNoOptional. Keeps only live retailer listings whose own category name matches this text exactly; catalogue matches ignore it. Leave it out unless the shopper names a retailer's category.
currencystringNoISO 4217 code for the shopper's market. Default GBP. Results and price filters use this currency.
max_pricenumberNoHighest price to include, in `currency`. Applies to retailer listings, not to `catalogMatch`.
min_pricenumberNoLowest price to include, in `currency`. Applies to retailer listings, not to `catalogMatch`.
providersarrayNoRetailer sources to search live, e.g. ["amazon", "awin"]. Omit for all. Catalogue matches are not limited by it.

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.