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RevenueCat MCP Server

AI-powered subscription management through natural language interactions

AIAsk AIChatGPTClaude

The RevenueCat MCP (Model Context Protocol) server enables AI assistants to manage subscription apps, Products, Entitlements, and everything in-between without using the RevenueCat dashboard.

📘AI Toolkit

The MCP server ships as part of the RevenueCat AI Toolkit, which also includes skills that guide your agent through common RevenueCat workflows. Installing the toolkit is the recommended way to get started in AI coding assistants.

What is MCP?​

Model Context Protocol is a standard that allows AI assistants to securely access external tools and data sources. The RevenueCat MCP server acts as a bridge between AI assistants (like Claude and ChatGPT) and the RevenueCat API, enabling natural language interactions with your subscription infrastructure.

Access​

The RevenueCat MCP server is available as a cloud-hosted service:

URL: https://mcp.revenuecat.ai/mcp

Authentication:

  • Bearer token with a RevenueCat API v2 key
  • OAuth with your RevenueCat account

Core features and capabilities​

The MCP server provides tools for:

  • Project management: Access and view RevenueCat project details
  • App management: Create, read, update, and delete apps across platforms
  • Product management: Manage subscription Products and in-app purchases
  • Offering and Package management: Create and manage subscription Offerings
  • Paywall management: Create and update RevenueCat Paywalls using AI, currently through Rico (see AI-assisted Paywall creation)
  • Analytics integration: Analyze charts and experiment results

For the full list of tools by category, see the Tools Reference.

Getting started​

  1. Setup Get your API keys and configure the MCP server for your AI assistant.
  2. Usage Examples Natural language interaction examples and common usage patterns to help you get the most out of the MCP server.
  3. Best Practices & Troubleshooting Security considerations, best practices, troubleshooting guides, and advanced usage patterns.

Ready to get started? Jump to Setup to configure the MCP server for your AI assistant.

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