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Lowriskquotes Montecarlo MCP Server

answering

Lowriskquotes Montecarlo is answering right now. Last checked 12 min ago. It exposes 2 tools. Last commit 31 Aug 2026.

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

Uptime history 12 hours of history
12 hours agonow
100.0%
Uptime 24h
42 of 42 checks
2
Tools
read from the server
513 ms
Response time
average over 24h
0
Stars
last commit 31 Aug 2026

Nothing serious here today

Today is the operative word: we check Lowriskquotes Montecarlo every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

run in your terminal
claude mcp add lowriskquotes-montecarlo --transport http https://lowriskquotes.com/api/mcp/
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "lowriskquotes-montecarlo": {
      "url": "https://lowriskquotes.com/api/mcp/"
    }
  }
}
~/.codex/config.toml
[mcp_servers.lowriskquotes-montecarlo]
url = "https://lowriskquotes.com/api/mcp/"
.cursor/mcp.json
{
  "mcpServers": {
    "lowriskquotes-montecarlo": {
      "url": "https://lowriskquotes.com/api/mcp/"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "lowriskquotes-montecarlo": {
      "url": "https://lowriskquotes.com/api/mcp/"
    }
  }
}

Available tools 2

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

monte
monte_carlo_estimate
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.
retirement
retirement_drawdown
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.

Endpoints

URLTransportStateLatencyChecked
https://lowriskquotes.com/api/mcp/ streamable-http answering 317 ms 12 min ago

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Lowriskquotes Montecarlo — questions

Answers built from our own checks of this server.

What can Lowriskquotes Montecarlo do?
It exposes 2 tools, read directly from the server on our last check. Among them: monte_carlo_estimate, retirement_drawdown. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Lowriskquotes Montecarlo working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 42 of 42 checks got a reply (100.0%), average response time 513 ms. The bar chart above shows every period we have measured.
How do I connect Lowriskquotes Montecarlo?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Lowriskquotes Montecarlo need an API key?
No. Lowriskquotes Montecarlo completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 2 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Lowriskquotes Montecarlo?
It answers our handshake in 513 ms on average, which is faster than 33% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Lowriskquotes Montecarlo open source?
Yes — written in TypeScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.