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Periskop MCP, Product Discovery For AI Agents

@Periskop-ai

Repository

Basic information

Category

Other

Transports

stdio

Author

Periskop-ai

Submitted by

duarteayrespereira

About Periskop MCP, Product Discovery For AI Agents

Periskop is an agent-native product-discovery layer for the open merchant web. One MCP/API call turns a natural-language shopping intent into structured, ranked product results:best picks, alternatives, bundles, prices, and working merchant links, from across independent stores.

Periskop MCP, Product Discovery For AI Agents config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "periskop": {
      "url": "https://mcp.periskop.ai/v1/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_PERISKOP_API_KEY>"
      }
    }
  }
}

Periskop MCP, Product Discovery For AI Agents tools

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Overview

What is Periskop MCP?

Periskop MCP is an agent-native product-discovery layer for the open merchant web. It turns a natural-language shopping intent into structured, ranked product results—including best picks, alternatives, bundles, prices, and working merchant links from across independent stores.

How to use Periskop MCP?

Make a single MCP/API call with a natural-language shopping intent. The server returns structured, ranked product results that an AI agent can directly use.

Key features of Periskop MCP

  • Agent-native product discovery for the open merchant web
  • Natural-language shopping intent to structured results
  • Includes best picks, alternatives, and bundles
  • Provides prices and working merchant links
  • Aggregates across many independent stores
  • Single MCP/API call for complete results

Use cases of Periskop MCP

  • AI-powered shopping assistants finding best deals across independent merchants
  • Price comparison and alternative product suggestions
  • Product research with structured, ranked options
  • Automated bundle recommendations for shopping lists

Frequently asked questions

1

What does Periskop MCP do?

It converts a natural-language shopping intent into structured, ranked product results from multiple independent stores.

2

What kind of results does it return?

Best picks, alternatives, bundles, prices, and working merchant links.

3

Where does the product data come from?

From across the open merchant web—independent stores and sellers.

Comments

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