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OpenReplay Session Analysis MCP Server

@rsp2k

Repository

Basic information

Category

Other

License

MIT license

Transports

stdio

Author

rsp2k

About OpenReplay Session Analysis MCP Server

A Model Context Protocol (MCP) server for analyzing OpenReplay session recordings and user behavior patterns

#openreplay#session-analysis#user-behavior

OpenReplay Session Analysis MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "openreplay-mcp-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

OpenReplay Session Analysis MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is OpenReplay Session Analysis MCP Server?

An MCP server that enables AI assistants to analyze OpenReplay session recordings and user behavior patterns. It searches, filters, and provides actionable insights from OpenReplay data, helping developers and UX researchers detect problems and understand user journeys.

How to use OpenReplay Session Analysis MCP Server?

Install by cloning the repository, creating a Python virtual environment, and installing dependencies. Configure OpenReplay API credentials in a .env file (API key, project ID, API URL). Run the server with python run_server.py or via Docker. Connect to an MCP client like Claude Desktop by adding the server to claude_desktop_config.json.

Key features of OpenReplay Session Analysis MCP Server

  • Session search and filtering by date, user, errors, duration
  • User journey analysis with page flow mapping
  • Problem detection: rage clicks, form abandonment, errors
  • AI-powered session summaries and insights
  • User behavior analysis across multiple sessions
  • Similar session finding for comparable issues

Use cases of OpenReplay Session Analysis MCP Server

  • Debugging: find recent error sessions, analyze them, and discover similar issues
  • UX research: examine user navigation patterns and identify frustration points
  • Customer support: retrieve all sessions for a specific user to understand behavior
  • Performance analysis: detect slow-loading content and behavioral patterns

Frequently asked questions

1

What are the requirements to run this server?

You need an OpenReplay account with API access, a valid API key and project ID, network access to OpenReplay API endpoints, and Python 3.8+.

2

How do I configure it with Claude Desktop?

Add the server to your `claude_desktop_config.json` under `mcpServers` with the `python` command pointing to `run_server.py` and environment variables for `OPENREPLAY_API_KEY` and `OPENREPLAY_PROJECT_ID`.

3

What analysis tools are available?

Tools include `search_sessions`, `get_session_details`, `get_user_session_history`, `analyze_user_journey`, `detect_problem_patterns`, `generate_session_summary`, and `find_similar_sessions`.

4

Can I run the server in Docker?

Yes. Use `docker-compose up` with environment variables in `.env`, or run `docker build` and `docker run` with the appropriate environment variables.

5

What analysis capabilities does it offer?

It detects rage clicks, form abandonment, dead clicks, and errors; maps page flows and action breakdowns; and provides AI-generated summaries and behavioral patterns.

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