Cloudflare Observability

cloudflare

by cloudflare

Cloudflare Observability offers advanced network monitoring software, delivering insights and trends for smarter network

It integrates tools powered by Workers Observability to provide global Internet traffic insights, trends and other utilities.

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Global Internet traffic dataCloudflare's network insightsRemote — zero setup

best for

  • / Network engineers analyzing Internet traffic
  • / DevOps teams monitoring global performance
  • / Researchers studying Internet trends

capabilities

  • / Query global Internet traffic patterns
  • / Analyze network performance metrics
  • / Access traffic trend data
  • / Monitor Internet connectivity insights
  • / Retrieve observability analytics

what it does

Provides global Internet traffic insights and analytics through Cloudflare's Workers Observability platform. Access traffic trends, performance metrics, and network data from Cloudflare's global network.

about

Cloudflare Observability is an official MCP server published by cloudflare that provides AI assistants with tools and capabilities via the Model Context Protocol. Cloudflare Observability offers advanced network monitoring software, delivering insights and trends for smarter network

how to install

You can install Cloudflare Observability in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

Apache-2.0

Cloudflare Observability is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Cloudflare MCP Server

Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, you can find several MCP servers allowing you to connect to Cloudflare's service from an MCP client (e.g. Cursor, Claude) and use natural language to accomplish tasks through your Cloudflare account.

These MCP servers allow your MCP Client to read configurations from your account, process information, make suggestions based on data, and even make those suggested changes for you. All of these actions can happen across Cloudflare's many services including application development, security and performance.

They support both the streamable-http transport via /mcp and the sse transport (deprecated) via /sse.

The following servers are included in this repository:

Server NameDescriptionServer URL
Documentation serverGet up to date reference information on Cloudflarehttps://docs.mcp.cloudflare.com/mcp
Workers Bindings serverBuild Workers applications with storage, AI, and compute primitiveshttps://bindings.mcp.cloudflare.com/mcp
Workers Builds serverGet insights and manage your Cloudflare Workers Buildshttps://builds.mcp.cloudflare.com/mcp
Observability serverDebug and get insight into your application's logs and analyticshttps://observability.mcp.cloudflare.com/mcp
Radar serverGet global Internet traffic insights, trends, URL scans, and other utilitieshttps://radar.mcp.cloudflare.com/mcp
Container serverSpin up a sandbox development environmenthttps://containers.mcp.cloudflare.com/mcp
Browser rendering serverFetch web pages, convert them to markdown and take screenshotshttps://browser.mcp.cloudflare.com/mcp
Logpush serverGet quick summaries for Logpush job healthhttps://logs.mcp.cloudflare.com/mcp
AI Gateway serverSearch your logs, get details about the prompts and responseshttps://ai-gateway.mcp.cloudflare.com/mcp
AutoRAG serverList and search documents on your AutoRAGshttps://autorag.mcp.cloudflare.com/mcp
Audit Logs serverQuery audit logs and generate reports for reviewhttps://auditlogs.mcp.cloudflare.com/mcp
DNS Analytics serverOptimize DNS performance and debug issues based on current set uphttps://dns-analytics.mcp.cloudflare.com/mcp
Digital Experience Monitoring serverGet quick insight on critical applications for your organizationhttps://dex.mcp.cloudflare.com/mcp
Cloudflare One CASB serverQuickly identify any security misconfigurations for SaaS applications to safeguard users & datahttps://casb.mcp.cloudflare.com/mcp
GraphQL serverGet analytics data using Cloudflare’s GraphQL APIhttps://graphql.mcp.cloudflare.com/mcp

Access the remote MCP server from any MCP client

If your MCP client has first class support for remote MCP servers, the client will provide a way to accept the server URL directly within its interface (e.g. Cloudflare AI Playground)

If your client does not yet support remote MCP servers, you will need to set up its respective configuration file using mcp-remote (https://www.npmjs.com/package/mcp-remote) to specify which servers your client can access.

{
	"mcpServers": {
		"cloudflare-observability": {
			"command": "npx",
			"args": ["mcp-remote", "https://observability.mcp.cloudflare.com/mcp"]
		},
		"cloudflare-bindings": {
			"command": "npx",
			"args": ["mcp-remote", "https://bindings.mcp.cloudflare.com/mcp"]
		}
	}
}

Using Cloudflare's MCP servers from the OpenAI Responses API

To use one of Cloudflare's MCP servers with OpenAI's responses API, you will need to provide the Responses API with an API token that has the scopes (permissions) required for that particular MCP server.

For example, to use the Browser Rendering MCP server with OpenAI, create an API token in the Cloudflare dashboard here, with the following permissions:

<img width="937" alt="Screenshot 2025-05-21 at 10 38 02 AM" src="https://github.com/user-attachments/assets/872e253f-23ce-43b3-983c-45f9d0f66100" />

Need access to more Cloudflare tools?

We're continuing to add more functionality to this remote MCP server repo. If you'd like to leave feedback, file a bug or provide a feature request, please open an issue on this repository

Troubleshooting

"Claude's response was interrupted ... "

If you see this message, Claude likely hit its context-length limit and stopped mid-reply. This happens most often on servers that trigger many chained tool calls such as the observability server.

To reduce the chance of running in to this issue:

  • Try to be specific, keep your queries concise.
  • If a single request calls multiple tools, try to to break it into several smaller tool calls to keep the responses short.

Paid Features

Some features may require a paid Cloudflare Workers plan. Ensure your Cloudflare account has the necessary subscription level for the features you intend to use.

Contributing

Interested in contributing, and running this server locally? See CONTRIBUTING.md to get started.

FAQ

What is the Cloudflare Observability MCP server?
Cloudflare Observability is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Cloudflare Observability?
This profile displays 49 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.549 reviews
  • Sakura Brown· Dec 28, 2024

    Useful MCP listing: Cloudflare Observability is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Jin Singh· Dec 24, 2024

    Cloudflare Observability has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Sakura Torres· Dec 20, 2024

    Strong directory entry: Cloudflare Observability surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Aditi Khanna· Dec 8, 2024

    According to our notes, Cloudflare Observability benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Sofia Kapoor· Nov 19, 2024

    Cloudflare Observability is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Ren Reddy· Nov 11, 2024

    Cloudflare Observability is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Jin Verma· Nov 3, 2024

    According to our notes, Cloudflare Observability benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Jin Menon· Oct 22, 2024

    Cloudflare Observability has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Sofia Sharma· Oct 10, 2024

    We wired Cloudflare Observability into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Jin Abbas· Oct 2, 2024

    We evaluated Cloudflare Observability against two servers with overlapping tools; this profile had the clearer scope statement.

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