What is Monte Carlo?
Monte Carlo is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to data + ai observability — monitor and troubleshoot production-grade agents and the context they use.
Data + AI observability — monitor and troubleshoot production-grade agents and the context they use.
This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Data + AI observability — monitor and troubleshoot productio
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx io-github-monte-carlo-data-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Monte Carlo
What is Monte Carlo?
Monte Carlo is a Model Context Protocol (MCP) server that data + ai observability — monitor and troubleshoot production-grade agents and the context they use. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Monte Carlo?
Follow the installation instructions on the Monte Carlo GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Monte Carlo?
Monte Carlo works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Monte Carlo free to use?
Yes, Monte Carlo is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Monte Carlo Alternatives — Similar Monitoring & Observability Servers
Looking for alternatives to Monte Carlo? Here are other popular monitoring & observability servers you can use with Claude, Cursor, and VS Code.
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Kubeshark
★ 11.9keBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.
Mission Control
★ 4.9kSelf-hosted AI agent orchestration platform: dispatch tasks, run multi-agent workflows, monitor spend, and govern operations from one mission control dashboard.
Grafana
★ 3.0kThis MCP server enables natural-language querying of Grafana logs by automatically detecting log sources and service labels. It provides read-only access to log data with intelligent caching for efficient repeat queries.
Sentrux
★ 2.4kReal-time architectural sensor that helps AI agents close the feedback loop, enabling recursive self-improvement of code quality. Pure Rust.
OpenInference
★ 986OpenTelemetry Instrumentation for AI Observability
Browse More Monitoring & Observability MCP Servers
Explore all monitoring & observability servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Monte Carlo in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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