Linkheft
Bulk domain authority: 0-100 score, web-graph rank, trend and Majestic links, 50 domains/call.
我該用這個嗎
品質與安全性
B
發現項目(1)
- LOW在 dataset_info 中
根據工具定義與協定合規性的自動化分析。
上下文成本
~268Token(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 0.21%)
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": {
"linkheft-api": {
"url": "https://linkheft-api.cybermax-tools.workers.dev/mcp?via=mcp-registry"
}
}
}遠端端點
https://linkheft-api.cybermax-tools.workers.dev/mcp?via=mcp-registrystreamable-http它能做什麼
工具清單
工具(2)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢domain_authority(domains, sortBy, minScore)
Authority score (0-100), Common Crawl web-graph rank (harmonic + PageRank), hosts, previous rank and trend, Majestic Million rank, referring subnets and IPs for 1-50 domains, URLs or emails. found=false when a domain is outside the top 10M and the Majestic Million.
輸入結構描述
{
"type": "object",
"properties": {
"domains": {
"type": "array",
"items": {
"type": "string"
},
"minItems": 1,
"maxItems": 50,
"description": "Domains, URLs or emails, e.g. stripe.com"
},
"sortBy": {
"type": "string",
"enum": [
"input",
"score"
],
"default": "input"
},
"minScore": {
"type": "integer",
"minimum": 0,
"maximum": 100
}
},
"required": [
"domains"
]
}🟢dataset_info
The Common Crawl web-graph release, Majestic Million date, as-of date and size of the data behind domain_authority.
輸入結構描述
{
"type": "object",
"properties": {}
}社群
證據
近期觀測
已驗證未記錄版本2 個工具