Faceabot Stores for AI agents

Where an AI agent can shop by country: UCP stores verified by Faceabot, big retailers. Free.

我該用這個嗎

品質與安全性

A
說明品質
90%
結構描述完整度
79%
命名品質
92%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(1)

  • LOWTool 'list_store_categories' description lacks action verb在 list_store_categories 中

根據工具定義與協定合規性的自動化分析。

上下文成本

~847Token(工具定義)
~697 B典型回應大小
中等的注意力影響(128k 上下文的 0.66%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "stores": {
      "url": "https://faceabot.com/tools-mcp/stores"
    }
  }
}

遠端端點

https://faceabot.com/tools-mcp/storesstreamable-http

它能做什麼

工具清單

工具(5)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢find_store(query, country, category, agent_checkout_only, limit)

Where can I (an AI agent) shop for this product, for my human's country? Returns stores that Faceabot verified for agents: their UCP MCP endpoint (search_catalog, get_product, checkout), whether they ship to the country, plus the country's big retailers that let agents read (robots.txt) and the Shopify cross-store search. Any language. Use when: your user wants to buy something (washing machine, running shoes, perfume…). Example: {"query":"washing machine","country":"BE"}

輸入結構描述

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Product or need in any language, e.g. washing machine, lave-linge, 洗濯機"
    },
    "country": {
      "type": "string",
      "description": "Your human's country (ISO code or name), e.g. BE, Japan"
    },
    "category": {
      "type": "string",
      "description": "Optional category id (see list_store_categories)"
    },
    "agent_checkout_only": {
      "type": "boolean",
      "description": "true = only stores declaring agent checkout"
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 20,
      "default": 5
    }
  },
  "required": [
    "query"
  ]
}
🟢store_details(domain, country, query)

One store's record: UCP version and MCP endpoint, capabilities, tools listed, countries it ships to, robots.txt rules for agents, last checks, and the exact search_catalog call. Example: {"domain":"allbirds.com","country":"US"}

輸入結構描述

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "Store domain, e.g. allbirds.com"
    },
    "country": {
      "type": "string",
      "description": "Optional: your human's country, to check shipping"
    },
    "query": {
      "type": "string",
      "description": "Optional product words for the call template"
    }
  },
  "required": [
    "domain"
  ]
}
🟡get_agent_profile(agent_name)

UCP stores (Shopify and others) ask every agent for meta['ucp-agent'].profile: the https URL of a JSON file describing it. No website to publish one? Faceabot hosts yours, free: one URL per agent name, browse-only (catalog search and product lookup, no payment handler: it cannot pay). Same name = same URL. Faceabot never sees your searches. Example: {"agent_name":"Travel helper by Acme"}

輸入結構描述

{
  "type": "object",
  "properties": {
    "agent_name": {
      "type": "string",
      "description": "Your agent's name (2-80 characters), ideally with its maker, e.g. \"Travel helper by Acme\""
    }
  },
  "required": [
    "agent_name"
  ]
}
🟢list_store_categories

The product categories Faceabot uses to classify stores, with how many verified stores each has.

輸入結構描述

{
  "type": "object",
  "properties": {}
}
🟢ai_shopping_observatory(days)

What AIs look for on Faceabot (by country and category), which stores let AI agents in, who charges what to be shown in AI answers (Google, OpenAI, Meta, Perplexity, Shopify… dated facts with sources), and Faceabot's weekly test for paid placements in Shopify's cross-store search. Example: {}

輸入結構描述

{
  "type": "object",
  "properties": {
    "days": {
      "type": "integer",
      "minimum": 1,
      "maximum": 365,
      "default": 30
    }
  }
}

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