OpenReplay
bylekt9
0Empowers large language models to query and analyze user session data from OpenReplay, facilitating AI-powered insights into user behavior and application performance.
About
The OpenReplay MCP (Model Context Protocol) server acts as a bridge, enabling large language models (LLMs) to interact with and extract valuable insights from OpenReplay user sessions. By providing a structured interface for querying session data, events, errors, performance metrics, and user journeys, it transforms raw analytics into actionable intelligence. This server allows developers and data analysts to leverage the power of AI to understand user interactions, identify pain points, and optimize the digital experience.
Key Features
- AI-powered Session Querying & Filtering
- User Funnel & Journey Analysis
- Comprehensive Session Event Details Retrieval
- Error and Issue Tracking & Aggregation
- Performance Metrics Analysis (LCP, TTI, etc.)
- 0 GitHub stars
Use Cases
- Gain AI-powered insights into user journeys and conversion paths for product optimization.
- Analyze user behavior patterns and identify common drop-off points in user flows.
- Pinpoint and debug critical JavaScript errors and performance bottlenecks affecting users.
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