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cloudflare-observability

Cloudflare Observability

    Server Summary

    • Query Cloudflare analytics

    • Monitor security events

    • Analyze traffic patterns

    • Retrieve performance metrics

Cloudflare Observability MCP Server

A Model Context Protocol (MCP) server that provides seamless access to Cloudflare's observability data and analytics. This server enables AI assistants and applications to query, analyze, and understand your Cloudflare infrastructure's performance, security events, and operational metrics through natural language interactions.

Overview

The Cloudflare Observability MCP Server bridges the gap between Cloudflare's powerful observability platform and AI-driven workflows. By exposing Cloudflare's analytics, logs, and monitoring data through the MCP protocol, this server allows you to gain insights into your edge infrastructure without leaving your development environment or AI assistant interface.

What It Does

This MCP server provides comprehensive access to Cloudflare's observability features, allowing you to:

  • Query analytics data across your Cloudflare zones and accounts
  • Access real-time and historical traffic patterns
  • Retrieve security event logs and threat intelligence
  • Monitor performance metrics for your edge applications
  • Analyze Web Application Firewall (WAF) events and rule triggers
  • Review rate limiting and DDoS mitigation statistics
  • Examine cache performance and optimization opportunities
  • Track API usage and request patterns

Key Features

Analytics Access

Retrieve detailed analytics about your Cloudflare-protected properties, including bandwidth usage, request counts, geographical distribution, and performance metrics. The server provides flexible querying capabilities to help you understand traffic patterns and user behavior.

Security Insights

Access comprehensive security data including firewall events, bot detection results, threat scores, and security rule matches. Understand how Cloudflare protects your applications and identify potential security concerns.

Performance Monitoring

Monitor the performance of your edge infrastructure with metrics covering response times, cache hit rates, origin server health, and content delivery efficiency. Identify bottlenecks and optimization opportunities.

Log Management

Retrieve and analyze Cloudflare logs to troubleshoot issues, audit activity, and gain detailed visibility into requests passing through your edge network.

Use Cases

Operational Intelligence: Ask your AI assistant about current traffic patterns, error rates, or security threats affecting your infrastructure.

Incident Response: Quickly investigate security incidents or performance degradations by querying relevant observability data through natural language.

Reporting and Analysis: Generate insights and reports about your Cloudflare usage, security posture, and application performance without manual dashboard navigation.

Proactive Monitoring: Enable AI-driven monitoring workflows that can analyze observability data and alert you to anomalies or concerning patterns.

Getting Started

Once configured with your Cloudflare credentials, the server seamlessly integrates with MCP-compatible AI assistants and applications. You can begin querying your Cloudflare observability data immediately through natural language requests, making infrastructure monitoring and analysis more intuitive and accessible.