Monte Carlo
Data & AI observability
About Monte Carlo
Monte Carlo provides data and AI observability for monitoring data reliability. Its connector gives assistants observability context for investigating data incidents, understanding quality signals, and supporting trusted analytics workflows.
Connection details
https://integrations.getmontecarlo.com/mcp- Transport
- Streamable HTTP
- Authentication
- OAuth
Setup
claude mcp add monte-carlo --transport http https://integrations.getmontecarlo.com/mcpFrequently asked questions
What is the Monte Carlo remote MCP server?
The Monte Carlo remote MCP server is a hosted Model Context Protocol endpoint at https://integrations.getmontecarlo.com/mcp, so AI assistants can connect to it without installing or running anything locally. Monte Carlo provides data and AI observability for monitoring data reliability. Its connector gives assistants observability context for investigating data incidents, understanding quality signals, and supporting trusted analytics workflows.
How do I connect to the Monte Carlo MCP server?
Add the endpoint https://integrations.getmontecarlo.com/mcp to any MCP-compatible client such as Claude Code, Codex, Cursor, or VS Code. The setup snippets on this page configure each client in one step.
Does the Monte Carlo MCP server require authentication?
Yes. Monte Carlo uses OAuth: the first time you connect, your MCP client opens a browser window to sign in and authorize access, then reuses the credentials for future sessions.
Which transport does the Monte Carlo MCP server use?
Monte Carlo exposes a Streamable HTTP endpoint, the current standard transport for the Model Context Protocol, supported by all major MCP clients.
