kpi-depot

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

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
100%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~666Tokens (Tool-Definitionen)
~1.4 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.52% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

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

Remote-Endpunkte

https://kpidepot.com/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (3)

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🟢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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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.

Eingabe-Schema

{
  "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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