Boolsai Scan

Live tech-stack scan of any public site — vendors, account IDs, scripts, JSON-LD. 2 tools.

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品質與安全性

A
說明品質
100%
結構描述完整度
100%
命名品質
80%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~357Token(工具定義)
~783 B典型回應大小
極小的注意力影響(128k 上下文的 0.28%)

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": {
    "scan": {
      "url": "https://boolsai.ai/mcp"
    }
  }
}

遠端端點

https://boolsai.ai/mcpstreamable-http

它能做什麼

工具清單

工具(2)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
⚪boolsai_scan(url)

Scan a public website. Returns its full tech stack — every external host the page talks to, every fetch/xhr/beacon endpoint, every inline-script signal, parsed JSON-LD, and the internal DOM/route trie — as structured JSON. Hostnames are returned raw; recognise vendors from them using your own knowledge.

輸入結構描述

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "URL or bare domain, e.g. \"gymshark.com\" or \"https://allbirds.com/products/legacy-tee\"."
    }
  },
  "required": [
    "url"
  ]
}
🟢boolsai_scan_paths(url, paths)

Scan multiple paths on the same site in parallel and merge the external-host lists. Returns per-path host lists, a unified merged set, and a homepage_missed list (hosts that appeared ONLY on non-home paths). Use when the homepage understates the stack — common on Shopify Plus and consent-gated sites where pixels lazy-load on PDP / cart / checkout. Recommended for ecom audits: paths = ["/", "/products/<any>", "/cart", "/checkout"]. Max 5 paths per call.

輸入結構描述

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Base URL or bare domain (e.g. \"gymshark.com\")."
    },
    "paths": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Path strings to scan, relative to the base (e.g. [\"/\", \"/products/legacy-tee\", \"/cart\"]). Max 5. If omitted, scans just \"/\"."
    }
  },
  "required": [
    "url"
  ]
}

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可用率:100.0%
延遲:277ms

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