mcpbeat Sign in

Monte Carlo MCP Server

by monte-carlo-data Your server? Claim it
answering

Monte Carlo is answering right now. Last checked 11 min ago.

Data + AI observability — monitor and troubleshoot production-grade agents and the context they use.

Uptime history 91 days of history · worst day 97%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
—
Tools
hidden behind auth
427 ms
Response time
average over 24h
OAuth sign-in
Access
streamable-http

Nothing serious here today

Today is the operative word: we check Monte Carlo 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 11 min ago.

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

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URLTransportStateLatencyChecked
https://mcp.getmontecarlo.com/mcp streamable-http sign-in 420 ms 11 min ago

Alternatives to Monte Carlo

same job, measured the same way
The Context Company
by the-context-company

AI agent observability for production traces, natural-language insights, and improvement loops.

answering
MC-Data Monitor
by evozim

SQL pipeline observability and DBT integration monitor.

1 tools answering
New Relic MCP Server
by newrelic-partners

Monitor, troubleshoot, and optimize your technology stack with Intelligent Observability.

answering
T
Traversal
by traversal

AI SRE: investigate production incidents across your observability stack.

answering
Rius
by glassflow

Query your AI agents' traces, errors, cost and alerts in Rius, the agent observability platform.

answering
A
agentrace
by ura-tools

Structured observability for AI agents. Trace steps, decisions, and errors. MCP server + CLI viewer.

55 installs/wk local only
Engagelab Email
by r1ghtherewaiting

Send, receive, monitor and reply to email from AI agents with threaded inbox context.

56 installs/wk local only
PageWatch - page-to-data extraction and change monitoring
by workers-zenith-ops-pagewatch

Extract prices, lists, tables, events from static pages and watch them for changes.

3 tools answering

Monte Carlo — questions

Answers built from our own checks of this server.

Why is there no tool list for Monte Carlo?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is 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 427 ms. The bar chart above shows every period we have measured.
How do I connect 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. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to Monte Carlo?
No API key is involved. Monte Carlo answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is Monte Carlo?
It answers our handshake in 427 ms on average, which is faster than 30% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.