OpenReplay MCP Server

OpenReplay MCP Server

Enables AI-powered analytics for OpenReplay user sessions through natural language queries. Supports session search, user journey analysis, error tracking, performance metrics, and funnel analysis to understand user behavior patterns.

Category
访问服务器

README

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

Installation

npm install
npm run build

Configuration

  1. Copy .env.example to .env:
cp .env.example .env
  1. 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

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选