🤖

Give Your AI Agent Access to Live Amazon Fashion Deals

Connect autonomous shopping assistants, LLMs, and applications to 60,000+ verified Amazon US fashion deals via our high-speed Model Context Protocol (MCP) server, REST API, and OpenAPI 3.1 specifications.

⚡ MCP Standard (JSON-RPC 2.0) 📊 OpenAPI 3.1 📄 llms.txt Protocol ⏱️ Real-Time Snapshot SLA

🤖

AI Shopping Agents (MCP)

Integrate directly into Claude Desktop, Cursor, ChatGPT, or autonomous agent frameworks using the standard Model Context Protocol.

                    Tool: search_fashion_deals
                

View MCP Setup Guide ↓

💻

Developers (REST API)

Query live price drops, discount percentages, and coupon codes programmatically with 60 requests/minute free public throughput.

                    GET /api/social/top-deals
                

Inspect API & OpenAPI Spec ↓

🧠

LLMs & AI Crawlers

A clean, canonical view of our platform without DOM clutter, fully adhering to the llms.txt v2 and Markdown specification.

                    GET /llms.txt • /methodology.md
                

Read Raw llms.txt →

The Killer Demo: Natural Language → Live Deal Results

LIVE EXECUTION

1. User Shopping Prompt to AI Assistant

“Find me 5 women's designer shoes under $50 with at least 60% off, verify that the discount is based on historical pricing, and show me the freshest results.”

2. AI Agent Invokes TheFashionDeals MCP Tool

// Tool Call
search_fashion_deals({
  "search": "designer shoes",
  "category": "womens-shoes",
  "max_price": 50.00,
  "min_discount": 60,
  "limit": 5
})

3. Live Validated Snapshot Returned to AI (Live Data Contract)

{
  "total_found": 5,
  "deals": [
    {
      "asin": "B07F1SK4DJ",
      "title": "OLEVS Luxury Designer Dress Footwear & Timepieces Collection",
      "brand": "OLEVS",
      "current_price": 27.01,
      "original_price": 328.00,
      "discount_percentage": 92,
      "availability": "in_stock",
      "source": "Amazon US (TheFashionDeals)",
      "last_checked_at": "2026-09-30T12:46:44-07:00",
      "deal_url": "https://thefashiondeals.com/deal/olevs-luxury-collection-b07f1sk4dj?utm_source=claude_mcp"
    }
  ]
}

⚡ Connect to Model Context Protocol (MCP) Server

Add TheFashionDeals to your local AI environment (Claude Desktop, Cursor IDE, Windsurf, or custom agent scripts) in 30 seconds:

Claude Desktop Configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "thefashiondeals": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://thefashiondeals.com/api/social/mcp"
      ]
    }
  }
}

Cursor IDE MCP Server Configuration:

Name: TheFashionDeals • Type: sse • Server URL: https://thefashiondeals.com/api/social/mcp

💻 REST API Endpoint Reference

High-speed public endpoint with zero API key requirement for baseline queries (up to 60 requests/minute per IP):

                    GET https://thefashiondeals.com/api/social/top-deals
                

OpenAPI 3.1 Spec →

Supported Query Parameters:

Parameter	Type	Default	Description
search	string	—	Keyword, brand name, ASIN, or product title snippet.
category	string	—	Category slug (e.g. `womens-fashion`, `shoes`, `dresses`).
max_price	float	—	Maximum current price ceiling in USD (e.g. `40.00`).
min_discount	int	15	Minimum discount percentage threshold (e.g. `50` for 50%+ off).
limit	int	10	Number of items to retrieve (1 to 50 items).

cURL Quick Test:

curl -s "https://thefashiondeals.com/api/social/top-deals?search=sneakers&min_discount=50&limit=3"

Official Hub: github.com/TheFashionDeals • Verified on Glama MCP Directory