We’ve announced the RevenueCat IntelliJ plugin and now it’s even got smarter. With the new AI Assistant feature, you can now query your subscription metrics, explore offerings, and get answers about your RevenueCat integration, all without leaving your IDE. Behind the scenes, this AI Assistant is integrated with the RevenueCat MCP Server, bringing the power of AI-assisted subscription management directly into your development workflow.
In this article, you’ll explore how the AI Assistant works in RevenueCat’s IntelliJ plugin, what you can accomplish with it, and how this feature can help you make data-driven decisions that boost your subscription revenue.
What is the RevenueCat MCP Server?
Before diving into the AI Assistant, let’s understand the foundation it’s built on. The Model Context Protocol (MCP) is an open standard that allows AI assistants to interact with external tools and data sources. RevenueCat provides an official MCP Server that exposes subscription management capabilities to AI models.
The MCP Server provides tools for fetching subscription metrics like MRR, active trials, and revenue. It can list and inspect offerings, packages, and products. It retrieves customer subscription information and provides documentation and resource links.
The IntelliJ plugin’s AI Assistant uses the same underlying tool architecture as the MCP Server. This means you get consistent, reliable access to your RevenueCat data directly inside your IDE with our preferred AI model.
Setting up the AI Assistant
Getting started with the AI Assistant takes just a few steps.
First, open IntelliJ Settings and navigate to RevenueCat, then AI Settings. Enable the AI Assistant toggle to activate the feature.
Next, choose your AI provider. The plugin supports OpenAI (GPT-4o, GPT-4o Mini), Anthropic (Claude 3.5 Sonnet, Claude 3 Haiku), and Google (Gemini 2.5 Flash, Gemini 2.5 Pro). Each provider has different strengths—GPT-4o and Claude Sonnet excel at complex reasoning, while GPT-4o Mini and Gemini Flash offer faster responses for simpler queries.
Then enter your API key for your chosen provider. The key is stored securely in IntelliJ’s credential storage on your local computer.
Finally, make sure your RevenueCat API credentials are configured in the main RevenueCat settings panel.
Once configured, you’ll find the AI Assistant panel in the RevenueCat tool window. The interface is simple: a chat-style conversation where you can ask questions and receive responses.
What can you do with the AI Assistant?
The AI Assistant exposes four core capabilities through its tool set. Let’s explore each one with practical examples.
Fetching subscription metrics
The most common use case is checking your subscription health without leaving the IDE.
Ask the assistant “What are my current metrics?” or “Show me my MRR” and you’ll get a formatted response with your Monthly Recurring Revenue (MRR), active trials count, active subscriptions count, and total revenue. More than just querying, it’s your mini consultant. You can play with these metrics and get useful strategies to boost your revenue.
This is invaluable during development. You can push a new paywall implementation, then immediately check if metrics are trending in the right direction. No dashboard tabs, no context switching.
You can also ask follow-up questions like “How does my trial conversion look?” or “What’s my revenue growth?”, and “What can I do for boosting my revenue?” The AI will analyze your metrics and provide insights based on the data.
Exploring offerings and packages
When implementing purchase flows, you need to know exactly what offerings and packages are available.
Ask “What offerings do I have configured?” and the assistant will list all your offerings with their lookup keys, display names, and whether each is mar