AIWebSignals

Public AI web-readiness scanner and machine-facing observability discovery service.

我該用這個嗎

品質與安全性

B
說明品質
90%
結構描述完整度
53%
命名品質
93%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(1)

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

根據工具定義與協定合規性的自動化分析。

上下文成本

~224Token(工具定義)
~293 B典型回應大小
極小的注意力影響(128k 上下文的 0.18%)

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": {
    "aiwebsignals": {
      "url": "https://aiwebsignals.com/mcp"
    }
  }
}

遠端端點

https://aiwebsignals.com/mcpstreamable-http

它能做什麼

工具清單

工具(3)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
⚪scan_ai_web_readiness(domain)

Run AIWebSignals' existing bounded public readiness scanner for a public hostname or HTTP(S) URL. Private/local network targets are rejected. The target website is not modified; AIWebSignals may persist its normalized observation in scan history.

輸入結構描述

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "minLength": 1,
      "maxLength": 2048,
      "description": "Public hostname or HTTP(S) URL to inspect"
    }
  },
  "required": [
    "domain"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢get_machine_capabilities

Return the current public capability contract served at /api/capabilities, including active protocol, evidence, and security boundaries.

輸入結構描述

{
  "type": "object",
  "properties": {}
}
🟢get_machine_pricing

Return the same public plan catalog served at /api/machine-pricing. Provider configuration identifiers and payment credentials are excluded.

輸入結構描述

{
  "type": "object",
  "properties": {}
}

建議的提示詞

retrieve_data
Get details about [item] from AIWebSignals
預期的工具: scan_ai_web_readiness
fetch_info
Fetch [information type] using AIWebSignals
預期的工具: scan_ai_web_readiness

社群

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證據

近期觀測

已驗證未記錄版本3 個工具
已驗證未記錄版本3 個工具