@Monte Carlo
Basic information
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.
https://integrations.getmontecarlo.com/mcpclaude mcp add monte-carlo --transport http https://integrations.getmontecarlo.com/mcpTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
This server requires authentication. Tool discovery may require signing in or credentials from the provider.
Fetch the live tool list directly from this server's endpoint using the button above.
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.
Add the endpoint https://integrations.getmontecarlo.com/mcp to any MCP-compatible client such as Claude Code, Cursor, or VS Code. The setup snippets on this page configure each client in one step.
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.
Monte Carlo exposes a Streamable HTTP endpoint, the transport used by remote MCP servers and supported by all major MCP clients.
App Store keyword research, rank tracking, competitor analysis and authorized performance data.
Pharmaceutical drug & clinical trial intelligence
Hosted 3GPP MCP server: cited search across Rel-15 through Rel-20 TS/TR specs, recent TDocs, company proposals and meeting decisions. OAuth 2.1; no local index required.
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CVE prioritization using exploitation signals, plus agent heartbeat monitoring and state capsules. Some tools use API-key or x402 access.
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