simulate-monte-carlo MCP Server

by encodi Your server? Claim it

answering

simulate-monte-carlo is answering right now. Last checked 14 min ago. It exposes 1 tools. Last commit 11 Aug 2026.

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

Uptime history 21 days of history · worst day 99%

21 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

453 ms

Response time

average over 24h

Stars

last commit 11 Aug 2026

What the code does

We read the source, 13 h ago · tools taken from the live server · rules 3dff92dd89df

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.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add simulate-monte-carlo --transport http https://simulate-monte-carlo.encodari.workers.dev/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "simulate-monte-carlo": {
      "url": "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

{
  "mcpServers": {
    "simulate-monte-carlo": {
      "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

URL	Transport	State	Latency	Checked
https://simulate-monte-carlo.encodari.workers.dev/mcp	streamable-http	answering	551 ms	14 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 91 of 91 checks got a reply (100.0%), average response time 453 ms. The bar chart above shows every period we have measured.

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 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 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.

How fast is simulate-monte-carlo?

It answers our handshake in 453 ms on average, which is faster than 39% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is simulate-monte-carlo open source?

Yes — it is published under the MIT licence, written in TypeScript and 1 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.