RankCert
Launch board rankings backed by verified domain control, with source and date.
我該用這個嗎
品質與安全性
B
發現項目(1)
- LOW在 board_this_week 中
根據工具定義與協定合規性的自動化分析。
上下文成本
~275Token(工具定義)
~414 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": {
"rankcert": {
"url": "https://rankcert.com/api/mcp"
}
}
}遠端端點
https://rankcert.com/api/mcpstreamable-http它能做什麼
工具清單
工具(4)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
⚪board_this_week(week)
The RankCert board for a launch week: every live product with its verification tier and rank score.
輸入結構描述
{
"type": "object",
"properties": {
"week": {
"type": "string",
"description": "Monday of the week as YYYY-MM-DD. Defaults to current."
}
}
}⚪product_signals(slug)
One product with every verification signal behind its tier: kind, band, source and the date it was last confirmed.
輸入結構描述
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Product slug."
}
},
"required": [
"slug"
]
}🟢search_products(query, tag, tier, limit)
Search live RankCert products by free text, tag or verification tier.
輸入結構描述
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Matches name and tagline."
},
"tag": {
"type": "string",
"description": "Exact tag, e.g. 'seo'."
},
"tier": {
"type": "string",
"enum": [
"unverified",
"domain"
]
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 50,
"default": 20
}
}
}⚪verification_stats
Aggregate verification data across the whole board: tier split and which proof sources are actually used.
輸入結構描述
{
"type": "object",
"properties": {}
}建議的提示詞
search_research
Search for information about [topic] using RankCert
預期的工具:
search_productsfind_specific
Find [specific item] using RankCert
預期的工具:
search_products社群
證據
近期觀測
已驗證未記錄版本4 個工具
已驗證未記錄版本4 個工具