Using Model Context Protocol (MCP) to connect AI agents to analytics tools like Amplitude can transform product decision-making. By giving agents access to both your codebase and real analytics data, you can identify high-impact improvements backed by actual numbers rather than guessing. The author shares concrete prompts used to analyze conversion rates, improve upsell flows, and prioritize features for their iOS app RocketSim. Combining MCPs with Agent Skills (like marketing psychology) further enhances the quality of AI-generated recommendations.
Table of contents
What is a Model Context Protocol (MCP)?Giving agents access to both your code and analyticsProduct decision promptsThe benefit of having both code and analytics accessCombining Agent Skills and MCPsSort: