whoisgenius
Domain attribution and correlation for AI agents, with confidence and per-signal evidence.
我該用這個嗎
品質與安全性
A
根據工具定義與協定合規性的自動化分析。
上下文成本
~199Token（工具定義）
~527 B典型回應大小
極小的注意力影響（128k 上下文的 0.16%）
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": {
"whoisgenius": {
"url": "https://api.whoisgeni.us/mcp"
}
}
}遠端端點
https://api.whoisgeni.us/mcpstreamable-http它能做什麼
工具清單
工具（2）
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢analyze_domain(domain)
Analyze a domain name to identify its operator and attribution signals. Returns a human-readable Markdown summary and machine-readable structured output containing ranked entity candidates with confidence scores and per-signal evidence.
輸入結構描述
{
"type": "object",
"properties": {
"domain": {
"type": "string",
"description": "Fully qualified domain name to analyze (e.g. 'example.com')."
}
},
"required": [
"domain"
]
}⚪correlate_domains(domains)
Correlate 2-15 domain names to detect shared infrastructure, common operators, and clustering evidence. Returns a human-readable Markdown summary and machine-readable structured output containing correlation clusters, pairwise scores, and shared signals.
輸入結構描述
{
"type": "object",
"properties": {
"domains": {
"type": "array",
"items": {
"type": "string"
},
"minItems": 2,
"maxItems": 15,
"description": "List of domain names to correlate (2-15)."
}
},
"required": [
"domains"
]
}社群
證據
近期觀測
已驗證未記錄版本2 個工具
已驗證未記錄版本2 個工具
已驗證未記錄版本2 個工具