cloudflare-audit-logs
Built by Metorial, the integration platform for agentic AI.
cloudflare-audit-logs
Server Summary
Query audit logs
Monitor security events
Track configuration changes
Analyze user activity
A Model Context Protocol (MCP) server that provides seamless access to Cloudflare's audit logs, enabling you to query, analyze, and monitor account activity directly through your AI assistant. This server bridges the gap between Cloudflare's comprehensive audit trail and your development workflow, making security monitoring and compliance tracking more accessible than ever.
The Cloudflare Audit Logs MCP server connects to Cloudflare's API to retrieve detailed audit log entries for your account. Every action taken within your Cloudflare account generates an audit log entry, and this server makes those logs queryable through natural language interactions with your AI assistant.
This MCP server provides access to Cloudflare's audit logging system, allowing you to:
Quickly investigate suspicious activity or unauthorized changes by querying audit logs for specific users, IP addresses, or action types. Understanding who did what and when becomes as simple as asking your AI assistant.
Generate compliance reports by retrieving audit logs for specific time periods. Track user activities, configuration changes, and access patterns to meet regulatory requirements and internal audit needs.
When something breaks or behaves unexpectedly, audit logs can help you identify recent changes that might be responsible. Query logs around specific timeframes to correlate issues with configuration modifications.
Keep track of what your team members are doing across your Cloudflare resources. Review who made changes to DNS records, firewall rules, Workers, or any other Cloudflare configuration.
Once configured, simply ask your AI assistant questions about your Cloudflare audit logs. The server handles the API communication and data retrieval, presenting the information in an easy-to-understand format.
Example queries you might ask:
The server translates your natural language requests into appropriate API calls and returns the relevant audit log data for your review.