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precisioncalc-mcp

High-precision finance & business calculations for AI agents — exact decimals, never floats.

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Qualität und Sicherheit

B
Qualität der Beschreibung
89%
Vollständigkeit des Schemas
71%
Qualität der Benennung
84%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (4)

  • LOWTool 'compound_growth' description lacks action verbin compound_growth
  • LOWTool 'internal_rate_of_return' description lacks action verbin internal_rate_of_return
  • LOWTool 'loan_amortization' description lacks action verbin loan_amortization
  • LOWTool 'health_check' description lacks action verbin health_check

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

Kontextkosten

~1,125Tokens (Tool-Definitionen)
~586 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.88% 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": {
    "precisioncalc-mcp": {
      "command": "npx",
      "args": [
        "precisioncalc-mcp"
      ]
    }
  }
}

Ausführbare Pakete

npmprecisioncalc-mcp2.1.1stdio

Remote-Endpunkte

https://precisioncalc-mcp.pages.dev/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (11)

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🟢calculate_metric(metric, params, currency)

Compute a business/SaaS/finance metric with exact decimal precision. Metrics: ltv, cac, ltv_cac_ratio, payback_period_months, contribution_margin, gross_margin, churn_rate, mrr_growth_rate, arr, break_even_units, nrr, grr, rule_of_40, magic_number. Rates/margins are decimals (0.05=5%). Call list_metrics for schemas.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "metric": {
      "type": "string"
    },
    "params": {
      "type": "object"
    },
    "currency": {
      "type": "string",
      "default": "USD"
    }
  },
  "required": [
    "metric",
    "params"
  ]
}
🟢list_metrics

List every supported metric with descriptions and required/optional params.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}
⚪currency_convert(amount, from_currency, to_currency, date, live)

Convert an amount between major currencies (USD, EUR, GBP, JPY, CAD, AUD, CHF, CNY, INR) with Decimal precision. Static offline table on the free tier; live/historical ECB rates (date/live=true) require a paid plan.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "amount": {
      "type": "number"
    },
    "from_currency": {
      "type": "string"
    },
    "to_currency": {
      "type": "string"
    },
    "date": {
      "type": "string"
    },
    "live": {
      "type": "boolean"
    }
  },
  "required": [
    "amount",
    "from_currency",
    "to_currency"
  ]
}
🟡business_days(operation, start_date, days, end_date, region, ...)

Business-day arithmetic honoring weekends + regional holidays. operation: add_business_days (needs days, negative ok) | count_business_days (needs end_date, inclusive) | next_business_day | previous_business_day. region: US | UK | EU | NONE. custom_holidays: list of YYYY-MM-DD.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "operation": {
      "type": "string"
    },
    "start_date": {
      "type": "string"
    },
    "days": {
      "type": "integer"
    },
    "end_date": {
      "type": "string"
    },
    "region": {
      "type": "string",
      "default": "US"
    },
    "custom_holidays": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "operation",
    "start_date"
  ]
}
⚪compound_growth(operation, rate, years, present_value, future_value, ...)

Compound-interest/growth math. operation: future_value (rate, years, present_value) | present_value (rate, years, future_value) | cagr (begin_value, end_value, years). rate is annual decimal (0.08=8%). compounding: daily|weekly|monthly|quarterly|semiannually|annually|continuous.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "operation": {
      "type": "string"
    },
    "rate": {
      "type": "number"
    },
    "years": {
      "type": "number"
    },
    "present_value": {
      "type": "number"
    },
    "future_value": {
      "type": "number"
    },
    "begin_value": {
      "type": "number"
    },
    "end_value": {
      "type": "number"
    },
    "compounding": {
      "type": "string",
      "default": "annually"
    },
    "currency": {
      "type": "string",
      "default": "USD"
    }
  },
  "required": [
    "operation"
  ]
}
⚪net_present_value(rate, cashflows, currency)

Net Present Value (discounted cash flow). NPV = sum(CF_t/(1+rate)^t). cashflows[0] = period 0 (usually the negative outlay).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "rate": {
      "type": "number"
    },
    "cashflows": {
      "type": "array",
      "items": {
        "type": "number"
      }
    },
    "currency": {
      "type": "string",
      "default": "USD"
    }
  },
  "required": [
    "rate",
    "cashflows"
  ]
}
🟡internal_rate_of_return(cashflows, guess)

Internal Rate of Return: per-period rate where NPV=0 (Newton + bisection). Requires a sign change in cashflows.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "cashflows": {
      "type": "array",
      "items": {
        "type": "number"
      }
    },
    "guess": {
      "type": "number",
      "default": 0.1
    }
  },
  "required": [
    "cashflows"
  ]
}
⚪loan_amortization(principal, annual_rate, term_months, extra_payment, currency, ...)

Level-payment loan: monthly payment, total interest, payoff, and (optional) full schedule. payment = P*r/(1-(1+r)^-n), r=annual_rate/12.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "principal": {
      "type": "number"
    },
    "annual_rate": {
      "type": "number"
    },
    "term_months": {
      "type": "integer"
    },
    "extra_payment": {
      "type": "number",
      "default": 0
    },
    "currency": {
      "type": "string",
      "default": "USD"
    },
    "include_schedule": {
      "type": "boolean",
      "default": false
    }
  },
  "required": [
    "principal",
    "annual_rate",
    "term_months"
  ]
}
⚪depreciation(method, cost, salvage_value, useful_life_years, currency)

Asset depreciation schedule. method: straight_line | declining_balance | sum_of_years_digits. Book value converges to salvage_value.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "method": {
      "type": "string"
    },
    "cost": {
      "type": "number"
    },
    "salvage_value": {
      "type": "number"
    },
    "useful_life_years": {
      "type": "integer"
    },
    "currency": {
      "type": "string",
      "default": "USD"
    }
  },
  "required": [
    "method",
    "cost",
    "salvage_value",
    "useful_life_years"
  ]
}
🟢batch_calculate(calls)

PAID FEATURE. Run many calculations in one request. calls: list of {tool, arguments} (max 100). One failure never aborts the batch.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "calls": {
      "type": "array",
      "items": {
        "type": "object"
      }
    }
  },
  "required": [
    "calls"
  ]
}
🟢health_check

Server health/status metadata.

Eingabe-Schema

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

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