MCP

The Monte Carlo Model Context Protocol (MCP) server enables AI-powered code editors like Cursor and Windsurf, plus general-purpose tools like Claude Desktop, to interact directly with your Monte Carlo API and documentation.

What is MCP?

Model Context Protocol (MCP) is an open standard that allows AI applications to securely access external data sources and tools. The Monte Carlo MCP server provides AI agents with:

• Direct API access to Monte Carlo functionality
• Documentation search capabilities
• Real-time data from your Monte Carlo account
• Code generation assistance for Monte Carlo integrations

Monte Carlo MCP Server Setup

Monte Carlo hosts a remote MCP server at https://docs.getmontecarlo.com/mcp. Configure your AI development tools to connect to this server. If your APIs require authentication, you can pass in headers via query parameters or however headers are configured in your MCP client.

{
  "mcpServers": {
    "montecarlo": {
      "url": "https://docs.getmontecarlo.com/mcp"
    }
  }
}

Testing Your MCP Setup

Once configured, you can test your MCP server connection:

1. Open your AI editor (Cursor, Windsurf, etc.)
2. Start a new chat with the AI assistant
3. Ask about Monte Carlo - try questions like:
   • "How do I [common use case]?"
   • "Show me an example of [API functionality]"
   • "Create a [integration type] using Monte Carlo"

The AI should now have access to your Monte Carlo account data and documentation through the MCP server.