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simulate-monte-carlo MCP Server

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simulate-monte-carlo is listed as active in the registry but did not answer our last check. It exposes 1 tools. Last commit 11 Aug 2026.

Real Monte Carlo simulation of a compound event/conditional probability. Paid via x402.

Uptime history 89 days of history · worst day 0%
89 days agonow
0.0%
Uptime 24h
0 of 91 checks
1
Tools
read from the server
78 ms
Response time
average over 24h
1
Stars
last commit 11 Aug 2026

What the code does

We read the source, 3 d ago · tools taken from the live server · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Runs an external command worker-configuration.d.ts:3387
    exec(input?: string | URLPatternInit, baseURL?: string): URLPatternResult | null;

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

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 9 min ago.

run in your terminal
claude mcp add simulate-monte-carlo --transport http https://simulate-monte-carlo.encodari.workers.dev/mcp
Settings → Connectors → Add custom connector, then paste this address
https://simulate-monte-carlo.encodari.workers.dev/mcp
~/.codex/config.toml
[mcp_servers.simulate-monte-carlo]
url = "https://simulate-monte-carlo.encodari.workers.dev/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "simulate-monte-carlo": {
      "url": "https://simulate-monte-carlo.encodari.workers.dev/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "simulate-monte-carlo": {
      "type": "http",
      "url": "https://simulate-monte-carlo.encodari.workers.dev/mcp"
    }
  }
}

Available tools 1

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

simulate
simulate_monte_carlo
Actually draws random samples from real distributions and counts outcomes, instead of a model guess about a probability. Declare named random variables (uniform, normal, bernoulli, binomial, poisson, exponential, discrete), an "event" boolean expression over those variable names (e.g. "a > 0.5 && b == 1"), and an optional "condition" expression to estimate a conditional probability P(event | condition) by rejection sampling. Event/condition expressions are parsed and evaluated by a small built-in interpreter (arithmetic, comparisons, &&/||/!, min/max/abs) — no arbitrary code execution. Returns the estimated probability, a 95% confidence interval, and the seed used (pass the same seed back to reproduce the exact result). Costs $0.03 USDC (Base) per call.

Endpoints

URLTransportStateLatencyChecked
https://simulate-monte-carlo.encodari.workers.dev/mcp streamable-http answering 78 ms 9 min ago

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simulate-monte-carlo — questions

Answers built from our own checks of this server.

What can simulate-monte-carlo do?
It exposes 1 tools, read directly from the server on our last check. Among them: simulate_monte_carlo. 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 simulate-monte-carlo working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 0 of 91 checks got a reply (0.0%), average response time 78 ms. The bar chart above shows every period we have measured.
The registry lists simulate-monte-carlo as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
How do I connect simulate-monte-carlo?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does simulate-monte-carlo need an API key?
No. simulate-monte-carlo completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 1 of them are readable on this page. This is what we observed, not what the docs claim.
Is simulate-monte-carlo open source?
The code is open source: it is published under the MIT licence, written in TypeScript and 1 stars on GitHub. The licence covers the code in the repository, not the hosted service at simulate-monte-carlo.encodari.workers.dev, which runs on its operator's own terms.