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
說明品質
83%
結構描述完整度
75%
命名品質
85%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

發現項目(1)

  • LOWTool 'board_this_week' description lacks action verb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_products
find_specific
Find [specific item] using RankCert
預期的工具: search_products

社群

為此伺服器評分

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