OpenReplay Session Analysis MCP Server

What is OpenReplay Session Analysis MCP Server?

OpenReplay Session Analysis MCP Server is a Model Context Protocol (MCP) server designed for analyzing OpenReplay session recordings and user behavior patterns. It enables AI assistants to analyze user sessions, detect problems, and provide actionable insights from OpenReplay data.

How to use OpenReplay Session Analysis MCP Server?

To use the server, clone the repository from GitHub, set up the environment, configure your OpenReplay credentials, and run the server. You can also deploy it using Docker for containerized environments.

Key features of OpenReplay Session Analysis MCP Server?

• 🔍 Session Search & Filtering: Find sessions by date, user, errors, duration.
• 📊 User Journey Analysis: Track page flows and navigation patterns.
• 🐛 Problem Detection: Identify rage clicks, form abandonment, errors.
• 🤖 AI-Powered Insights: Generate intelligent session summaries.
• 👥 User Behavior Analysis: Analyze patterns across multiple sessions.
• 🔗 Similar Session Finding: Discover sessions with comparable issues.

Use cases of OpenReplay Session Analysis MCP Server?

1. Analyzing user behavior to improve UX.
2. Detecting and resolving issues in user sessions.
3. Generating insights for product development based on user interactions.

FAQ from OpenReplay Session Analysis MCP Server?

• Can I use this server without an OpenReplay account?

No, you need an OpenReplay account with API access to use this server.

• Is there a way to deploy this server using Docker?

Yes, you can deploy it using Docker by setting the required environment variables in a .env file and using docker-compose.

• What programming language is this server built with?

The server is built with Python.