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Build an AI Shopping Agent in 10 Minutes with BuyWhere MCP

Build an AI Shopping Agent in 10 Minutes with BuyWhere MCP

AI agents are eating software. But most agents still cannot shop.

They cannot search products. They cannot compare prices. They cannot find the best deal.

Until now.

Enter BuyWhere MCP

BuyWhere gives AI agents a product catalog API with 180+ categories and real-time pricing. The BuyWhere MCP server is open source on GitHub — star it, fork it, or contribute.

Drop this MCP config into Claude Desktop, Cursor, or any MCP client:

{
  "mcpServers": {
    "buywhere": {
      "url": "https://api.buywhere.ai/mcp",
      "env": {
        "BUYWHERE_API_KEY": "your-api-key"
      }
    }
  }
}
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Get your free API key at buywhere.ai.

4 Tools, Infinite Possibilities

  1. search_products — Search across millions of products with filters
  2. get_product — Full product details, pricing, availability
  3. find_best_price — Compare prices across retailers
  4. list_categories — Browse 180+ product categories

Build in 10 Minutes

Step 1: Get your API key from buywhere.ai

Step 2: Add the MCP config above to your MCP client

Step 3: Ask your agent:

Search for gaming laptops under $2000 and find the best price
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That is it. Your agent can now shop.

Real Use Cases

  • Shopping assistants — Help users find and compare products
  • Price trackers — Monitor prices and alert on deals
  • Gift finders — Search by recipient, budget, category
  • Research tools — Analyze product catalogs and pricing trends

Up for a Challenge?

We are launching the "Build With BuyWhere" Developer Challenge on May 5.

Build an AI agent using BuyWhere MCP and win:

  • 1st: Featured placement + 12 months Growth tier ($1,188 value)
  • 2nd: 12 months Growth tier + blog feature
  • 3rd: 6 months Growth tier + social mention

Read full challenge details →

Questions?

Drop a comment below or reach out on buywhere.ai.

Go build something that shops.

More BuyWhere tutorials:


Loved this? Star buywhere-mcp on GitHub — it helps other developers discover the project.

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