kpi-depot

Search 20,000+ corporate KPIs and 30,000+ source-attributed industry benchmarks with definitions

我该使用它吗

质量与安全性

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

基于对工具定义和协议合规性的自动分析。

上下文开销

~666token 数(工具定义)
~1.4 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 0.52%)

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": {
    "kpi-depot": {
      "url": "https://kpidepot.com/mcp"
    }
  }
}

远程端点

https://kpidepot.com/mcpstreamable-http

它能做什么

工具清单

工具(3)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢search_kpis(query, function, industry)

Search KPI Depot's library of 20,000+ corporate KPIs by keyword, with optional corporate-function and industry filters. Returns up to 10 relevance-ranked matches, each with a one-line definition, its benchmark count, and the KPI's page URL. When no KPI matches the full query, the response also includes close_matches (nearest KPIs, with which query words each missed) and related_groups (KPI groups whose names match the query, with their top KPIs). Use this first to find the kpi_id (slug) required by get_kpi and get_benchmarks.

输入模式

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Free-text search term, e.g. \"maintenance\", \"customer churn\", \"days sales outstanding\"."
    },
    "function": {
      "type": "string",
      "enum": [
        "Corporate Finance",
        "Corporate Marketing",
        "Corporate Strategy",
        "Customer Service",
        "Data Management & Analytics",
        "General Counsel",
        "Human Resources",
        "Industry-specific",
        "Information Technology",
        "Innovation Management",
        "Legal",
        "Operations Management",
        "Product Management",
        "Regulatory Compliance",
        "Sales Management",
        "Supply Chain Management"
      ],
      "description": "Optional corporate function filter."
    },
    "industry": {
      "type": "string",
      "enum": [
        "Business & Professional Services",
        "Consumer, Food, & Leisure",
        "Energy, Utilities, & Natural Resources",
        "Financial Services",
        "Healthcare & Life Sciences",
        "Industrials & Manufacturing",
        "Other, Cross-Industry, & Standards",
        "Public & Social Sector",
        "Real Estate, Infrastructure, & Built Environment",
        "Technology",
        "Telecommunications & Media",
        "Transportation, Mobility, & Logistics"
      ],
      "description": "Optional industry sector filter."
    }
  },
  "required": [
    "query"
  ]
}
🟢get_kpi(kpi_id)

Full intelligence for a single KPI: definition, standard formula, common pitfalls, improvement levers, related KPIs, the KPI groups it belongs to, and metadata about its available benchmarks (benchmark values themselves come from get_benchmarks). Takes the kpi_id (slug) returned by search_kpis.

输入模式

{
  "type": "object",
  "properties": {
    "kpi_id": {
      "type": "string",
      "description": "The KPI slug from search_kpis, e.g. \"asset-maintenance-ratio\"."
    }
  },
  "required": [
    "kpi_id"
  ]
}
🟢get_benchmarks(kpi_id)

Benchmark data for a single KPI (one kpi_id per call): benchmark values with descriptive metadata (industry, geography, time period, sample size) and full source attribution (source name, URL, excerpt, and comments). Each response includes a citation URL.

输入模式

{
  "type": "object",
  "properties": {
    "kpi_id": {
      "type": "string",
      "description": "The KPI slug from search_kpis. Single value only — no arrays or wildcards."
    }
  },
  "required": [
    "kpi_id"
  ]
}

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已验证未记录版本3 个工具
已验证未记录版本3 个工具