Cloudflare Digital Experience Monitoring MCP Server

This MCP server provides seamless integration with Cloudflare's Digital Experience Monitoring service, enabling you to monitor, analyze, and optimize your web application's performance from the perspective of real users across the globe. Access comprehensive performance metrics, synthetic monitoring data, and user experience insights directly through your MCP-enabled tools.

Overview

Cloudflare Digital Experience Monitoring (DEM) helps you understand how your applications perform for users worldwide. This MCP server brings those powerful monitoring capabilities into your development workflow, allowing you to query performance data, investigate issues, and track improvements without leaving your environment.

Features

Performance Monitoring

• Retrieve real-user monitoring (RUM) data showing actual user experiences
• Access synthetic monitoring results from Cloudflare's global network
• Query performance metrics including page load times, Core Web Vitals, and resource timing
• Analyze performance trends over custom time periods

Geographic Insights

• View performance data segmented by geographic region
• Identify location-specific performance bottlenecks
• Compare user experiences across different countries and cities
• Understand regional network conditions affecting your application

Test Management

• List and manage synthetic monitoring tests
• Review test configurations and schedules
• Access historical test results and performance baselines
• Track test success rates and failure patterns

Alerting and Diagnostics

• Check active alerts and monitoring notifications
• Investigate performance degradations and outages
• Access detailed diagnostic information for failed tests
• Review error rates and availability metrics

Use Cases

This server is ideal for DevOps teams, site reliability engineers, and developers who need quick access to Digital Experience Monitoring data. Use it to troubleshoot performance issues during incidents, validate deployments, track performance improvements, or integrate monitoring data into your existing workflows and automation pipelines.