Monte Carlo

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Remote HTTP

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "monte-carlo": {
      "url": "https://docs.getmontecarlo.com/docs/mcp-server"
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Monte Carlo is a 📊 Monitoring MCP server listed on AllMCPs. Data + AI observability — monitor and troubleshoot production-grade agents and the context they use.

Read the full README →View source on docs.getmontecarlo.com →

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Frequently Asked Questions about Monte Carlo

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "monte-carlo": { "command": "npx", "args": ["-y", "Monte Carlo"] } }

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Technical Specs & Signals

CategoryMonitoring

26Quality signal: Emerging · 26/100How this signal is calculated ▾

Server availability13/25

Verified ownership0/20

Documentation & tools12/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 📊 Monitoring →Best MCP servers for Monitoring & Observability →Alternatives to Monte Carlo →Install in Claude Desktop Install in Cursor Install in VS Code