cloudflare-radard
Built by Metorial, the integration platform for agentic AI.
cloudflare-radard
Server Summary
Query internet traffic
Analyze security threats
Monitor network infrastructure
Track technology adoption
A Model Context Protocol (MCP) server that provides seamless access to Cloudflare Radar's comprehensive internet traffic and security data. This server enables AI assistants to query real-time insights about global internet trends, attack patterns, network performance, and routing information directly through natural language interactions.
Cloudflare Radar is one of the most comprehensive sources of intelligence about internet traffic patterns, security threats, and network infrastructure worldwide. This MCP server bridges the gap between Cloudflare's vast dataset and AI assistants, allowing users to access critical internet insights without leaving their development environment.
By integrating this server, you gain the ability to ask questions about current DDoS attacks, analyze BGP routing changes, investigate DNS trends, explore adoption rates of emerging web technologies, and understand regional internet usage patterns—all through conversational queries.
Investigate attack patterns, identify threat actors, and analyze the scope and impact of security incidents using real-time and historical attack data.
Monitor BGP announcements, track routing changes, and analyze AS-level relationships to maintain awareness of network infrastructure changes that might impact your services.
Understand technology adoption trends, browser and device usage patterns, and regional internet growth to inform product and business decisions.
Access comprehensive datasets about internet behavior, protocol adoption, and traffic patterns for research papers, presentations, and analysis.
This server provides read-only access to Cloudflare Radar's public API endpoints, translating natural language queries into appropriate API calls and formatting responses in an easily digestible format. The server handles rate limiting, authentication, and error handling automatically, ensuring reliable access to Radar's data streams.
Users can ask questions ranging from high-level trends ("What are the top attacked industries this week?") to specific technical queries ("Show me BGP route leak events affecting AS13335 in the last 24 hours"). The server interprets these requests and returns relevant, contextualized data that AI assistants can reason about and present clearly.