kwery 远程 MCP 服务器是什么?
kwery 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://api.kwery.co/mcp,AI 助手无需在本地安装或运行任何东西即可连接。

@kwery GmbH
基本信息
Live prices, offers and trust scores from Amazon, Google Shopping, idealo, eBay, Kaufland and 6 more marketplaces, matched by GTIN. Look up, compare and batch-check products from your AI assistant. Connect with your kwery API key.
https://api.kwery.co/mcpclaude mcp add kwery --transport http https://api.kwery.co/mcp工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
此服务需要认证,获取工具列表可能需要登录或使用服务提供方的凭据。
点击上方按钮,直接连接服务器端点实时获取工具列表。
kwery gives your AI assistant live ecommerce prices. Ask in plain language and the agent looks up current prices, every seller offer and stock status by GTIN, ASIN or marketplace ID, then compares them across marketplaces.
Every result comes with a trust score and tells you which marketplace, which country and when the data was collected. Results below 0.7 are flagged for review.
| Tool | What it does |
|---|---|
get_product_offers | Live price, offers, sellers and stock for one product on one marketplace |
compare_prices | One product across several marketplaces, cheapest offer first |
submit_batch | Up to 1,000 products in one job; asks you to confirm the credit cost first |
get_batch_status | Progress of a batch job |
get_batch_results | Finished batch results |
list_sources | Available marketplaces, countries and credit cost |
get_account | Your plan and remaining credits |
Amazon, Google Shopping, idealo, eBay, Walmart, Kaufland, Otto, billiger.de, guenstiger.de, Lidl and Rakuten. If the agent names none, Germany defaults to Amazon, idealo and Google Shopping.
claude mcp add --transport http kwery https://api.kwery.co/mcp --header "Authorization: Bearer YOUR_KWERY_API_KEY"
Works with Claude Code, Claude Desktop, Cursor and VS Code.
Same credits as the kwery API: one credit per product per marketplace, two products per credit on Amazon, Walmart and eBay. See https://kwery.co/pricing.
kwery is price data infrastructure for ecommerce, hosted in Germany. https://kwery.co
kwery 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://api.kwery.co/mcp,AI 助手无需在本地安装或运行任何东西即可连接。
把端点 https://api.kwery.co/mcp 添加到任意支持 MCP 的客户端,比如 Claude Code、Cursor 或 VS Code。本页的接入代码块可以一步配置好每个客户端。
需要。kwery 需要一个 API key——具体获取方式请查看官方文档,拿到后填进客户端配置里即可。
kwery 暴露的是 Streamable HTTP 端点,这是远程 MCP 服务器普遍使用、主流客户端都支持的传输方式。
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