CartScout MCP server

Give Claude, Cursor or any MCP-capable AI agent live product prices, stock, variants and deal ratings from online stores. Paste a product link into the chat and ask "is this a good price?", "which of these three stores is cheapest and in stock?" or "does it come in size 10?".

Works with Shopify, WooCommerce, Walmart and eBay stores, with Amazon in beta. The data comes from the CartScout API, which handles fetching, bot filters and parsing. Try the API in your browser first, no sign-up needed.

Tools

Tool	What the agent gets	Uses
`get_product`	Price, list price and discount, stock, variants (sizes, colours) with their own price and stock, SKU / GTIN, rating, optional reviews and description	1 extraction
`compare_products`	2-10 pages ranked: cheapest, cheapest in stock, best rated, biggest discount, price spread, same product by GTIN	1 extraction per URL, PRO plan or higher
`check_deal`	Deal rating of the current price against its recorded history, with average, lowest and highest price	1 extraction (or none with `refresh: false`)
`get_price_history`	Recorded price and stock changes with current, lowest and highest price	No extractions

Every tool is read-only and returns structured JSON with an output schema. Responses are trimmed for agents: bulky parts such as all variants, reviews and the description are included only when the agent asks for them.

Setup

Subscribe to CartScout on RapidAPI. The free plan includes 300 extractions a month: plans.
Copy your X-RapidAPI-Key from the RapidAPI dashboard.
Add the server to your client. It runs with uv, which installs it on first use.

Claude Code

Terminal

claude mcp add cartscout -e RAPIDAPI_KEY=your-rapidapi-key -- uvx cartscout-mcp

Claude Desktop

Settings → Developer → Edit config, then add:

config.json

{
  "mcpServers": {
    "cartscout": {
      "command": "uvx",
      "args": ["cartscout-mcp"],
      "env": { "RAPIDAPI_KEY": "your-rapidapi-key" }
    }
  }
}

Cursor

Add the same mcpServers block to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project).

Example prompts

"What does https://www.allbirds.com/products/mens-tree-runner-nz-ochre cost, and is size 10 in stock?"
"Is $79 a good price for this air fryer? https://www.walmart.com/ip/844320666"
"Compare these three listings and tell me the cheapest one I can buy today: …"
"Show me how the price of this product changed over the last two weeks."

CartScout reads product pages; it does not search stores. Give the agent product URLs, or let it find them with a web search tool first.

Configuration

Variable	Default	Purpose
`RAPIDAPI_KEY`	required	Your RapidAPI key
`CARTSCOUT_RAPIDAPI_HOST`	`cartscout-api.p.rapidapi.com`	RapidAPI host of the API
`CARTSCOUT_API_URL`, `CARTSCOUT_API_KEY`	unset	Use a directly issued CartScout key instead of RapidAPI

The server sends only the product URLs your agent asks about to the CartScout API. Without a key it still starts and lists its tools (handy for MCP inspectors); each tool call then explains how to add RAPIDAPI_KEY.

Docker

Terminal

docker build -t cartscout-mcp .
docker run -i --rm -e RAPIDAPI_KEY=your-rapidapi-key cartscout-mcp

HTTP transport

cartscout-mcp --transport streamable-http --port 8000 serves the tools at http://127.0.0.1:8000/mcp. Every client connected to it uses the key from the environment, so keep it on a private address.

Good to know

Prices follow each store's own region and currency.
Results can be cached for up to 60 minutes (cached: true).
Price history and deal ratings build up as products are read. A product seen for the first time has little history to compare against.
History range depends on the plan: 14 days on the free plan, up to 365 days on MEGA.
When a store blocks a request, the tool returns an error explaining it, and the failed request is not billed.

Development

bash

uv sync
uv run pytest

License

MIT