kpi-depot

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

我該用這個嗎

品質與安全性

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

根據工具定義與協定合規性的自動化分析。

上下文成本

~666Token(工具定義)
~1.4 KB典型回應大小
中等的注意力影響(128k 上下文的 0.52%)

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

遠端端點

https://kpidepot.com/mcpstreamable-http

它能做什麼

工具清單

工具(3)

🟢 唯讀🟡 寫入🔴 刪除⚪ 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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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.

輸入結構描述

{
  "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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已驗證未記錄版本3 個工具
已驗證未記錄版本3 個工具