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Shoptera

Shoptera Product Intelligence Search product catalogs across thousands of Central European e-shops. Semantic search, keyword matching, GTIN/EAN lookup — via REST API or MCP. ~2,500 e-shops | ~8.5M products | 7 countries (CZ, SK, PL, HU, RO, DE, AT) Live stats: GET /stats/global Quickstart No authentication required. Base URL: https://shoptera.ai/api Semantic search — natural language, understands intent: curl "https://shoptera.ai/api/v1/search?q=dárek+pro+zahradníka+do+500+Kč&max_price=500&currency=CZK&origin_country=CZ" Keyword search — exact title matching, fast: curl "https://shoptera.ai/api/v1/search/text?title=Nike+Air+Max+90&brand=Nike" GTIN/EAN lookup — find e-shops by barcode: curl "https://shoptera.ai/api/v1/search/gtin/5901234123457" Saving tokens: Add fields to return only what you need (up to 70% smaller response): curl "https://shoptera.ai/api/v1/search?q=boty&limit=5&fields=title,price,product_url,cart_action" Quick Install Claude Code (one command) claude mcp add --transport http shoptera https://shoptera.ai/api/mcp Cursor Add to Cursor Settings → Features → MCP → Add New MCP Server, or edit ~/.cursor/mcp.json: { "mcpServers": { "shoptera": { "url": "https://shoptera.ai/api/mcp" } } } Windsurf Add via Cascade → MCP Servers → Add Server, or edit ~/.codeium/windsurf/mcp_config.json: { "mcpServers": { "shoptera": { "url": "https://shoptera.ai/api/mcp" } } } VS Code (Copilot / Continue) Edit .vscode/mcp.json in your workspace: { "mcpServers": { "shoptera": { "url": "https://shoptera.ai/api/mcp" } } } Any tool (universal installer) npx add-mcp https://shoptera.ai/api/mcp -n shoptera -g -y All Platforms Platform Setup Details Claude Code claude mcp add --transport http shoptera https://shoptera.ai/api/mcp Skill guide Cursor MCP config Settings → Features → MCP Windsurf MCP config Cascade → MCP Servers VS Code MCP config .vscode/mcp.json OpenAI Codex AGENTS.md Agent config reference ChatGPT OpenAPI spec Custom GPT actions. Instructions Gemini GEMINI.md Tool definitions and endpoints Any HTTP client Examples curl, Python, JavaScript MCP Details Endpoint: https://shoptera.ai/api/mcp (streamable HTTP, stateless, no auth) 3 tools: search_products, search_products_by_text, lookup_by_gtin Capabilities Product Search — semantic vs keyword vs GTIN, when to use which, filters, scoring Cart Actions — three action types, how to handle each Data Coverage — countries, data freshness, live stats API Reference Full documentation: api/reference.md OpenAPI spec: api/openapi.yaml Endpoints Method Path Description GET /api/v1/search?q=... Semantic search (natural language) GET /api/v1/search/text?title=... Keyword search (exact title match) GET /api/v1/search/gtin/{gtin} GTIN/EAN barcode lookup GET /stats/global Catalog statistics Code Examples Semantic search — curl, Python, JavaScript Keyword search — curl, Python, JavaScript GTIN/EAN lookup — curl, Python, JavaScript Cart actions — handling all three action types

该来源不提供完整文件导出(国内平台多为平台内托管),仅存元数据与原链
模型生成摘要(rules/v1 · 2026-09-27 16:35):Shoptera Product Intelligence
这是模型对公开材料的总结,不是官方声明,请以原链内容为准。

接入信息

传输形态
http
鉴权方式
鉴权未知
端点
https://shoptera-product-intelligence.run.tools
鉴权方式未标注,请核对官方文档后再接入——不要直接使用以下片段
{
  "mcpServers": {
    "Shoptera": {
      "url": "https://shoptera-product-intelligence.run.tools"
    }
  }
}

能力清单

工具说明
search_productsSearch products using natural language across ~8.5M products from 2,500+ Central European e-shops. Returns a dict with 'results' (list of product objects) and 'total_found' (int). Each product contains: title, description, price, currency, brand, category, gtin, image_url, product_url, availability, eshop_name, eshop_domain, origin_country, target_countries, score (0-1 relevance), and cart_action. The cart_action object tells you how to add the product to cart: - method="GET": navigate to cart_action.url — product is added automatically. - method="browser_click": navigate to cart_action.url, then click the button matching cart_action.button_text. - method="view_product": show the product page URL to the user. Use 'fields' parameter to return only needed fields and save tokens. Prefer this tool for open-ended queries. Use search_products_by_text when you know the exact product name, or lookup_by_gtin when you have a barcode number.
lookup_by_gtinLook up products by exact GTIN/EAN/UPC barcode across all indexed e-shops. Returns a dict with 'results' (list of product objects) and 'total_found' (int). Each product contains: title, description, price, currency, brand, category, gtin, image_url, product_url, availability, eshop_name, eshop_domain, origin_country, target_countries, and cart_action. The cart_action object tells you how to add the product to cart: - method="GET": navigate to cart_action.url — product is added automatically. - method="browser_click": navigate to cart_action.url, then click the button matching cart_action.button_text. - method="view_product": show the product page URL to the user. Use this tool when you have a barcode number and want to compare prices across e-shops. For natural language queries, use search_products instead.
search_products_by_textSearch products by exact keyword matching in titles across ~8.5M products from 2,500+ e-shops. Returns a dict with 'results' (list of product objects) and 'total_found' (int). Each product contains: title, description, price, currency, brand, category, gtin, image_url, product_url, availability, eshop_name, eshop_domain, origin_country, target_countries, and cart_action. The cart_action object tells you how to add the product to cart: - method="GET": navigate to cart_action.url — product is added automatically. - method="browser_click": navigate to cart_action.url, then click the button matching cart_action.button_text. - method="view_product": show the product page URL to the user. Faster and more deterministic than semantic search. Use this when you know the exact product name. For open-ended natural language queries, use search_products instead.
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