RankCert

Launch board rankings backed by verified domain control, with source and date.

我该使用它吗

质量与安全性

B
描述质量
83%
模式完整度
75%
命名质量
85%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

发现(1)

  • LOWTool 'board_this_week' description lacks action verb在 board_this_week 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~275token 数(工具定义)
~414 B典型响应大小
对注意力的影响极小(占 128k 上下文窗口的 0.21%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "rankcert": {
      "url": "https://rankcert.com/api/mcp"
    }
  }
}

远程端点

https://rankcert.com/api/mcpstreamable-http

它能做什么

工具清单

工具(4)

🟢 只读🟡 写入🔴 删除⚪ 未知
⚪board_this_week(week)

The RankCert board for a launch week: every live product with its verification tier and rank score.

输入模式

{
  "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.

输入模式

{
  "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.

输入模式

{
  "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.

输入模式

{
  "type": "object",
  "properties": {}
}

推荐提示词

search_research
Search for information about [topic] using RankCert
预期工具: search_products
find_specific
Find [specific item] using RankCert
预期工具: search_products

社区

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证据

最近观测

已验证未记录版本4 个工具
已验证未记录版本4 个工具