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
發現項目(1)
- LOW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_readinessfetch_info
Fetch [information type] using AIWebSignals
預期的工具:
scan_ai_web_readiness社群
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