lowriskquotes-montecarlo

Monte Carlo tools: three-point cost estimation and an educational retirement drawdown simulator.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
100%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~422Tokens (tool definitions)
~1.6 KBTypical response size
Minimal attention impact (0.33% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "lowriskquotes-montecarlo": {
      "url": "https://lowriskquotes.com/api/mcp/"
    }
  }
}

Remote endpoints

https://lowriskquotes.com/api/mcp/streamable-http

What it can do

Tool inventory

Tools (2)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪monte_carlo_estimate(items, iterations, seed)

Run a three-point (triangular) Monte Carlo simulation over cost line items. Use when a user needs a realistic range for a quote, budget or project cost instead of a single guess. Returns total-cost percentiles (p10/p50/p80/p90) and per-item breakdown.

Input Schema

{
  "type": "object",
  "properties": {
    "items": {
      "type": "array",
      "description": "Cost line items with three-point estimates",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string"
          },
          "low": {
            "type": "number",
            "description": "optimistic cost"
          },
          "likely": {
            "type": "number",
            "description": "most likely cost"
          },
          "high": {
            "type": "number",
            "description": "pessimistic cost"
          }
        },
        "required": [
          "low",
          "likely",
          "high"
        ]
      },
      "minItems": 1
    },
    "iterations": {
      "type": "number",
      "description": "optional, 100-20000, default 5000"
    },
    "seed": {
      "type": "number",
      "description": "optional seed for reproducible output"
    }
  },
  "required": [
    "items"
  ]
}
⚪retirement_drawdown(portfolio, annualSpend, years, equityPct, iterations, ...)

Monte Carlo retirement drawdown simulation: given a portfolio, annual spending, horizon and equity allocation, returns the probability the money lasts, end-balance percentiles and the assumptions used (real returns, annual steps). Educational output only — always present it with its assumptions and disclaimer, never as personal financial advice.

Input Schema

{
  "type": "object",
  "properties": {
    "portfolio": {
      "type": "number",
      "description": "starting balance (> 0)"
    },
    "annualSpend": {
      "type": "number",
      "description": "withdrawal per year (>= 0)"
    },
    "years": {
      "type": "number",
      "description": "horizon in years, 1-80"
    },
    "equityPct": {
      "type": "number",
      "description": "equity share of portfolio, 0-1"
    },
    "iterations": {
      "type": "number",
      "description": "optional, 100-20000, default 5000"
    },
    "seed": {
      "type": "number",
      "description": "optional seed for reproducible output"
    }
  },
  "required": [
    "portfolio",
    "annualSpend",
    "years",
    "equityPct"
  ]
}

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Evidence

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verifiedversion not recorded2 tools
verifiedversion not recorded2 tools