Cloudflare Observability MCP Server

The Cloudflare Observability MCP server allows your MCP Client to read configurations from your account, process information, make suggestions based on data, and even make those suggested changes for you.

This remote MCP server provides seamless integration between AI assistants like ChatGPT and Claude with Cloudflare's comprehensive Workers observability platform.

What is the Cloudflare Observability MCP Server?

This is a Model Context Protocol (MCP) server that supports remote MCP connections, with Cloudflare OAuth built-in. It integrates tools powered by Workers Observability to provide global Internet traffic insights, trends and other utilities.

Server Details:

Server URL: https://observability.mcp.cloudflare.com/sse
Total Tools: 10 comprehensive observability tools
Authentication: OAuth-secured Cloudflare integration
Compatibility: ChatGPT custom connectors, Claude custom connectors, and all MCP-compatible clients

Core Capabilities & Tools

Workers Management & Analysis

Account Management: List and switch between Cloudflare accounts
Workers Discovery: List and inspect all Workers in your account
Code Analysis: Access Worker source code for debugging and optimization
Performance Monitoring: Browse invocation logs and errors, compute statistics across invocations, and find specific invocations matching specific criteria. By querying logs across all of your Workers, this MCP server can help isolate errors and trends quickly.

Advanced Observability Features

Query Builder Integration: Construct structured queries to explore your logs, extract metrics from logs, create graphical and tabular visualizations, and save queries for faster future investigations. Query Builder allows you to interact with your logs, and answer the "why" to any question you have.
Key Discovery: Find available data fields in your Workers logs
Value Analysis: Discover available values for specific log fields
Documentation Search: Access Cloudflare's comprehensive documentation

Migration Support

Pages to Workers Migration: Built-in guidance for migrating Pages projects to Workers

Primary Use Cases

1. DevOps & Site Reliability Engineering

Monitor Workers performance across multiple environments
Investigate incidents and troubleshoot deployment issues
Analyze traffic patterns and identify optimization opportunities

Query shows the p90 wall time for 200 OK responses from the /reference endpoint is 6 milliseconds

2. Application Performance Monitoring

Track error rates and response times across your Workers fleet
Identify bottlenecks in your serverless applications
Monitor resource utilization and optimize costs

The telemetry data that the MCP server returns can also be used to create new visualizations and improve observability.

3. Business Intelligence & Analytics

Extract business metrics from application logs
Generate custom reports on user behavior and traffic patterns
Correlate performance data with business outcomes
Create automated insights and recommendations

4. Security & Compliance Monitoring

Track security events and anomalies across Workers
Monitor access patterns and authentication events
Generate compliance reports and audit trails
Identify potential security threats in real-time

Target Audience

Enterprise Development Teams

Organizations running mission-critical applications on Cloudflare Workers who need comprehensive observability and monitoring capabilities integrated directly into their AI-powered development workflows.

DevOps Engineers & SREs

Technical professionals responsible for maintaining system reliability, performance monitoring, and incident response who want to leverage AI assistants for faster troubleshooting and analysis.

Platform Engineering Teams

Engineers building internal developer platforms who need to provide observability tools and insights to development teams through conversational AI interfaces.

CTOs & Engineering Leaders

Technical leaders who want to enable their teams with AI-powered insights into application performance, costs, and operational metrics without switching between multiple tools.

Security & Authentication

The Cloudflare Observability MCP server implements enterprise-grade security:

OAuth 2.0 Authentication: Secure login flows with scoped permissions
API Token Integration: Support for Cloudflare API tokens with granular permissions
Encrypted Connections: All data transmission secured via HTTPS and SSE
Access Control: Fine-grained permission management for team environments

Getting Started

Connect Your AI Assistant: Configure ChatGPT or Claude with the server URL
Authenticate: Complete OAuth flow to grant permissions
Start Querying: Ask natural language questions about your Workers performance
Analyze Results: Get insights, visualizations, and actionable recommendations

Example Queries:

"Can you tell me about any potential issues on this particular worker 'my-worker-name'?"

"Show me the CPU time usage for my worker 'api-gateway' over the last 24 hours"

"What are the most common errors across all my Workers this week?"
"Generate a performance report for my production environment"

Enterprise Benefits

Reduced MTTR: Faster incident response through AI-powered analysis
Improved Visibility: Comprehensive insights across your entire Workers fleet
Cost Optimization: Identify opportunities to reduce resource usage and costs
Enhanced Productivity: Natural language queries eliminate need for complex dashboard navigation
Scalable Monitoring: Handle observability for hundreds or thousands of Workers effortlessly

Cloudflare Observability