ProfitWell MCP Server: All Tools for AI Agents

This n8n workflow creates a fully functional MCP (Model Context Protocol) server that exposes all available ProfitWell Tool operations to AI agents. With just two pre-built operations—Get Company Settings and Get Metrics—it provides instant access to essential SaaS subscription data without any manual configuration. The workflow uses an MCP Trigger node as the entry point, AI-powered expressions for dynamic parameter handling, and official ProfitWell Tool nodes with robust error management and retry logic.

Key benefits include seamless integration with AI platforms like Claude Desktop or custom agents, native API response formatting, and plug-and-play setup. It saves hours of development time by handling authentication, data mapping, and error recovery automatically, making ProfitWell data readily available in AI-driven workflows.

Ideal use cases: Automate SaaS churn analysis by querying metrics via AI conversations; retrieve company settings for dynamic reporting; integrate into larger business ops workflows for real-time subscription insights; or power custom AI apps needing ProfitWell data without building custom APIs.