Automate workflows and connect AI agents to Cloudflare Observability. Metorial is built for developers. Handling OAuth, compliance, observability, and more.
The Cloudflare Observability integration lets you query analytics, monitor real-time traffic patterns, and analyze security events across your Cloudflare infrastructure directly from your workflow, enabling faster troubleshooting and performance optimization.
Metorial has 600+ integrations available. Here are some related ones you might find interesting.
The Exa integration lets you perform semantic searches across the web and retrieve high-quality content directly within your workflows, enabling AI agents to find and access relevant information from billions of web pages in real-time.
The Hackernews integration lets you fetch and analyze stories, comments, and user data from Hacker News directly within your workflow, enabling you to track trending topics, monitor discussions, and gather insights from the tech community.
The Supabase integration lets you query and manipulate your database tables, manage authentication, and interact with storage buckets directly from your AI assistant. Use it to build applications, analyze data, or automate database operations without leaving your workflow.
The GitHub integration lets you search and view repositories, manage issues and pull requests, read file contents, and interact with your GitHub account directly from your workspace.
The Brave integration lets you perform web searches using Brave Search directly from Claude, allowing you to retrieve up-to-date information, news, and web results without leaving your conversation.
The Hugging Face integration lets you search and explore models, datasets, and Spaces directly from your development environment, making it easy to discover the right pre-trained models and resources for your machine learning projects.
The Tavily integration lets you perform AI-optimized web searches and retrieve real-time information directly within your workflow, enabling your AI assistant to access current data and research capabilities for answering questions and gathering insights.
The Neon integration lets you manage your serverless Postgres databases directly through AI conversations, enabling you to create projects, query database schemas, execute SQL commands, and monitor database usage without leaving your workflow.
The Linear integration lets you manage issues, projects, and teams directly from your workflow, enabling you to create, update, search, and track work items without leaving your current context.
Metorial helps you connect AI agents to Cloudflare Observability with various tools and resources. Tools allow you to interact with perform specific actions, while resources provide read-only access to data and information.
Find guides and articles to help you get started with Cloudflare Observability on Metorial.
Cloudflare Observability
Cloudflare Observability
Cloudflare Observability
Cloudflare Observability
Cloudflare Observability
Cloudflare Observability
Cloudflare Observability
Cloudflare Observability
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.
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.
This MCP server provides comprehensive access to Cloudflare's observability features, allowing you to:
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.
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.
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.
Retrieve and analyze Cloudflare logs to troubleshoot issues, audit activity, and gain detailed visibility into requests passing through your edge network.
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.
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.
Let's take your AI-powered applications to the next level, together.
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.