OpenReplay MCP Server

An MCP (Model Context Protocol) server that provides AI-powered analytics for OpenReplay sessions. This server enables LLMs to query and analyze user sessions through OpenReplay's API.

Authentication Methods

API Key Authentication (Current)

The server currently uses API key authentication which provides access to:

• List all projects

• Get user sessions by user ID

• Get session events

• User details

Note: API key authentication has limited access. For full functionality (session search, metrics, funnels, etc.), JWT authentication is required.

JWT Authentication (Future)

Full access to all OpenReplay features including:

• Complete session search with filters

• Performance metrics and analytics

• Funnel analysis

• Error tracking and aggregation

• Custom dashboards and metrics

Related MCP server: KrystalView MCP Server

Installation

npm install
npm run build

Configuration

1. Copy .env.example to .env:

cp .env.example .env

2. Configure your OpenReplay credentials:

# OpenReplay API URL
# For cloud: https://api.openreplay.com (default)
# For self-hosted: Your instance URL
OPENREPLAY_API_URL=https://api.openreplay.com

# Organization API Key (find in Preferences > Account > Organization API Key)
OPENREPLAY_API_KEY=your_organization_api_key

# Project key from your project settings
OPENREPLAY_PROJECT_KEY=your_project_key

Usage with Claude Desktop

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "openreplay": {
      "command": "node",
      "args": ["/path/to/openreplay-mcp/dist/index.js"],
      "env": {
        "OPENREPLAY_API_URL": "https://api.openreplay.com",
        "OPENREPLAY_API_KEY": "your_organization_api_key",
        "OPENREPLAY_PROJECT_KEY": "your_project_key"
      }
    }
  }
}

Available Tools

search_sessions

Search and filter sessions with various criteria like date range, user properties, errors, performance metrics.

get_session_details

Get detailed information about a specific session including all events, errors, network requests, console logs.

get_session_events

Get all events from a session with optional filtering by event type.

aggregate_sessions

Aggregate session data with various metrics and groupings (count, avg_duration, error_rate, bounce_rate, etc.).

get_user_journey

Get the complete journey of a user across multiple sessions.

get_errors_issues

Get errors and issues with their impact and affected sessions.

get_funnel_analysis

Analyze user funnels and conversion paths with custom step definitions.

get_performance_metrics

Get performance metrics like page load times, LCP, TTI with percentiles.

execute_custom_query

Execute custom queries for advanced analysis (SQL-like syntax for ClickHouse).

Example Queries

Once connected, you can ask the LLM questions like:

• "What are the most common drop-off points in our checkout flow?"

• "Show me the longest user sessions from the last week"

• "What JavaScript errors are affecting the most users?"

• "Analyze the user journey for users who converted vs those who didn't"

• "What pages have the worst performance metrics?"

• "Find patterns in sessions that resulted in errors"

• "Show me the bounce rate by device type and country"

Development

# Run in development mode
npm run dev

# Build for production
npm run build

# Start production server
npm start

License

MIT