cloudflare-analytics
Built by Metorial, the integration platform for agentic AI.
cloudflare-analytics
Server Summary
Query Cloudflare Analytics
Monitor security events
Retrieve performance metrics
Analyze traffic patterns
A Model Context Protocol (MCP) server that provides seamless access to Cloudflare Analytics data directly within your AI applications. Query web traffic metrics, security insights, and performance data from your Cloudflare-powered websites through natural language interactions with AI assistants.
The Cloudflare Analytics MCP server bridges the gap between your AI workflows and Cloudflare's powerful analytics platform. Instead of manually navigating dashboards or writing custom API integrations, you can now ask questions about your website's performance, traffic patterns, and security events in plain English and receive actionable insights instantly.
This server enables AI assistants to retrieve and analyze data from Cloudflare Analytics on your behalf. Whether you need to understand traffic trends, investigate security threats, or monitor site performance, the server translates your requests into Cloudflare API calls and returns the data in an easy-to-understand format.
Website Monitoring: Stay informed about your website's health by asking your AI assistant for daily traffic summaries, performance reports, or anomaly alerts.
Security Analysis: Investigate security incidents by querying threat data, understanding attack vectors, and identifying malicious traffic patterns through conversational interactions.
Business Intelligence: Make data-driven decisions by exploring visitor demographics, content popularity, and conversion patterns without leaving your AI workflow.
Performance Optimization: Identify slow-loading pages, analyze cache effectiveness, and discover opportunities to improve user experience through natural language queries.
Once configured, simply ask your AI assistant questions about your Cloudflare Analytics data. The server handles the complexity of API authentication, data retrieval, and formatting, allowing you to focus on insights rather than implementation details.
Example queries you might ask:
The server processes these requests, retrieves the relevant data from Cloudflare, and presents it in a clear, understandable format that your AI assistant can interpret and explain.