Cloudflare Logpush MCP Server

This MCP server provides seamless integration with Cloudflare's Logpush service, enabling you to manage and interact with your Cloudflare logs directly through the Model Context Protocol. Access comprehensive logging data, manage logpush jobs, and retrieve detailed analytics from your Cloudflare infrastructure without leaving your AI-powered workflow.

Overview

Cloudflare Logpush is a powerful service that delivers detailed logs about your website traffic, security events, and performance metrics. This MCP server acts as a bridge between your AI assistant and Cloudflare's Logpush API, allowing you to query, analyze, and manage your logging infrastructure through natural language interactions.

What It Does

The Cloudflare Logpush MCP server empowers you to work with your Cloudflare logs efficiently by providing direct access to Logpush functionality. Whether you're investigating security incidents, analyzing traffic patterns, or managing your log delivery infrastructure, this server translates your requests into API calls and returns structured data you can immediately act upon.

Key Features

Log Management

• Create and configure new logpush jobs for your zones
• List all active logpush jobs across your Cloudflare account
• Retrieve detailed information about specific logpush jobs
• Update existing job configurations
• Delete logpush jobs that are no longer needed

Data Access

• Query available log fields and datasets
• Access information about supported destinations
• Retrieve job execution status and history
• Validate logpush job configurations before deployment

Account Operations

• Manage logpush jobs across multiple Cloudflare zones
• View ownership validation tokens for destination verification
• Access zone-specific and account-level logging data

Use Cases

This MCP server is ideal for DevOps engineers, security analysts, and system administrators who need to interact with Cloudflare logs as part of their daily workflow. Quickly investigate security events by querying specific logpush jobs, automate log management tasks through conversational commands, or generate reports by analyzing logpush job configurations and their associated data streams.