Cloudflare Analytics

Connect AI Agents to
Cloudflare Analytics

Automate workflows and connect AI agents to Cloudflare Analytics. Metorial is built for developers. Handling OAuth, compliance, observability, and more.

Cloudflare Analytics on Metorial

The Cloudflare Analytics integration lets you query and monitor your website's traffic metrics, security events, and performance data directly through AI-powered conversations and automated workflows.

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Connect anything. Anywhere.

Supported tools and capabilities

Metorial helps you connect AI agents to Cloudflare Analytics with various tools and resources. Tools allow you to interact with perform specific actions, while resources provide read-only access to data and information.

Help & Documentation

Find guides and articles to help you get started with Cloudflare Analytics on Metorial.

More about Cloudflare Analytics

Cloudflare Analytics MCP Server

A Model Context Protocol (MCP) server that provides seamless access to Cloudflare Analytics data directly within your AI-powered workflows. Query website traffic, security events, performance metrics, and more through natural language interactions with your AI assistant.

Overview

The Cloudflare Analytics MCP Server bridges the gap between Cloudflare's powerful analytics platform and your AI tools. Instead of logging into dashboards or writing complex API queries, you can now retrieve analytics data conversationally, making data-driven decisions faster and more efficiently.

What It Does

This server enables your AI assistant to fetch and analyze data from Cloudflare's Analytics API on your behalf. Whether you're monitoring website performance, investigating security threats, or tracking bandwidth usage, the server handles the complexity of API interactions while you focus on insights.

Key Features

  • Traffic Analytics: Access detailed metrics about requests, page views, and visitor patterns across your zones
  • Security Insights: Retrieve data about threats blocked, firewall events, and security challenges issued
  • Performance Metrics: Query response times, cache hit ratios, and bandwidth consumption
  • Geographic Data: Understand where your traffic originates and identify regional patterns
  • Time-Series Data: Analyze trends over custom time periods to spot anomalies and growth patterns
  • Zone Management: Query analytics across single or multiple Cloudflare zones

Use Cases

  • Monitor sudden traffic spikes or unusual patterns in real-time
  • Generate reports about security threats and mitigation effectiveness
  • Analyze cache performance to optimize content delivery
  • Track bandwidth usage for capacity planning
  • Investigate specific time periods when incidents occurred
  • Compare metrics across different zones or properties

How to Use

Once configured, simply ask your AI assistant natural language questions about your Cloudflare analytics. The server translates your questions into appropriate API calls and returns the data in an easily understandable format. You can request specific metrics, filter by time ranges, or drill down into particular aspects of your Cloudflare-protected properties.

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About Metorial

Metorial provides developers with instant access to 600+ MCP servers for building AI agents that can interact with real-world tools and services. Built on MCP, Metorial simplifies agent tool integration by offering pre-configured connections to popular platforms like Google Drive, Slack, GitHub, Notion, and hundreds of other APIs. Our platform supports all major AI agent frameworks—including LangChain, AutoGen, CrewAI, and LangGraph—enabling developers to add tool calling capabilities to their agents in just a few lines of code. By eliminating the need for custom integration code, Metorial helps AI developers move from prototype to production faster while maintaining security and reliability. Whether you're building autonomous research agents, customer service bots, or workflow automation tools, Metorial's MCP server library provides the integrations you need to connect your agents to the real world.

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