MCP-powered
agent skills bring observability to
the IDE
Your agents can now autonomously execute monitoring workflows, without leaving the development environment.
The connection layer between your AI agents and Monte Carlo
For enterprises deploying AI at scale, the gap between your data stack and your development workflow is a reliability risk. Monte Carlo's MCP Server closes that gap — giving every AI agent in your organization access to the same observability layer your engineers rely on.
MCP as the connection layer between your agents and Monte Carlo
Triage an alert, understand asset dependencies, or create a monitor. Diagnose an integration error and follow your agent's trajectory. All from inside your IDE, without switching context.
A toolkit for agents to intelligently use Monte Carlo capabilities
The Agent Toolkit — an open-source collection of expert skills and Claude Code plugins — gives your agents judgment, not just connectivity. Instead of raw API access, your agent gets purpose-built skills that encode best practices for data observability workflows.
Work within your existing build environment
Native support for the AI-assisted coding tools and IDEs your team already uses means you can access Monte Carlo through Claude, VS Code, Cursor, and more.
"Agents don't follow a script — they optimize for the mission. MCP is how you give them the operational context to do that safely. It's the difference between an agent that's fast and one that's trustworthy."
Lior Gavish, CoFounder, Monte Carlo
See the Monte Carlo Agent Toolkit in action
Enterprise-Grade Security
All information provided by the Operations Agent is governed by domain and role based access control settings. Customer data is never used for model improvement.
Get started fast—scale faster.
Fast setup—even faster time to value. Connect to Monte Carlo in seconds, start monitoring out of the box and automatically scale with your environment.