Cloudflare Browser Rendering logo

Cloudflare Browser Rendering

OrganizationPopular
cloudflare

It integrates tools powered by the Cloudflare Browser Rendering API to provide global Internet traffic insights, trends and other utilities.

Publishercloudflare
Repositorymcp-server-cloudflare
LanguageTypeScript
Forks
393
Stars
3.7K
Available tools
0
Transport typestreamable-http
Categories
LicenseApache-2.0
Links
  • Connect tools to AI workflows

    Cloudflare Browser Rendering exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    3.7K stars and 393 forks from the linked repository.

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
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

Which Cloudflare MCP server should you use?

Cloudflare provides two categories of MCP servers:

  • Code Mode server (mcp.cloudflare.com) in cloudflare/mcp: best when you want broad access across Cloudflare's APIs through code execution.
  • Domain-specific servers (*.mcp.cloudflare.com) in this repository: best when you want curated, typed tools for a specific Cloudflare product area.

When should you use each?

Use the Code Mode server when:

  • you need broad API coverage across many Cloudflare products
  • you prefer a smaller set of general-purpose tools
  • your workflow is better served by code execution

Use the domain-specific servers in this repository when:

  • you want purpose-built tools for a specific product area
  • you want more guided, typed interactions
  • you are working primarily within one Cloudflare domain such as observability, bindings, Radar, or Browser Rendering

Learn more about the Code Mode server here: cloudflare/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.

json
{
	"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:

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.

Installation

TypingMind
{
  "mcpServers": {
    "cloudflare-browser-rendering": {
      "url": "https://browser.mcp.cloudflare.com/sse"
    }
  }
}

Use Cloudflare Browser Rendering MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Cloudflare Browser Rendering is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP connects through a hosted MCP server URL in TypingMind.

Add an MCP server URL

Use this when Cloudflare Browser Rendering is already hosted remotely or your team wants one shared connector that multiple users can access.

1

Open MCP connectors

In TypingMind, go to Plugins, open MCP connectors, then choose Add URL.

  1. Open TypingMind in your browser.
  2. Go to Plugins.
  3. Open MCP connectors.
  4. Click Add URL.
TypingMind Add Custom MCP Server URL form
2

Paste the server URL

Enter https://browser.mcp.cloudflare.com/sse in the Server URL field. Add a connection name, description, icon, custom HTTP headers, or OAuth client settings if the server requires them.

  1. Paste https://browser.mcp.cloudflare.com/sse into the Server URL field.
  2. Enter a connection name for Cloudflare Browser Rendering.
  3. Add a description and icon if you want it to be easier to identify.
  4. Add custom HTTP headers or OAuth client details if the server requires authentication.
3

Create the connection

Click Create connection, then return to the Plugins list and confirm the new MCP connection is active.

  1. Click Create connection.
  2. Return to the MCP connectors list.
  3. Confirm the Cloudflare Browser Rendering connection appears as active.
  4. Refresh the plugin list if the connection does not appear immediately.
4

Switch models without reconnecting

Start a chat with your preferred model, enable the Cloudflare Browser Rendering tools from Plugins, and switch to another model whenever needed. The MCP connection stays available to the TypingMind workspace.

  1. Start a new chat in TypingMind.
  2. Select the AI model you want to use.
  3. Enable the Cloudflare Browser Rendering tools from Plugins.
  4. Ask the model to use the tool when needed.
  5. Switch to another AI model and reuse the same MCP connection.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Cloudflare Browser Rendering to help me with this task?
Cloudflare Browser Rendering
Sure. I read it.
Here is what I found using Cloudflare Browser Rendering.

Frequently asked questions

What is the Cloudflare Browser Rendering MCP server used for?

Cloudflare Browser Rendering is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Cloudflare Browser Rendering MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Cloudflare Browser Rendering with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Cloudflare Browser Rendering MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Cloudflare Browser Rendering connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Cloudflare Browser Rendering MCP to TypingMind?

Cloudflare Browser Rendering can be connected in TypingMind by adding its hosted MCP server URL. This is useful when you want a remote MCP connection that is available from your TypingMind workspace.

What tools does Cloudflare Browser Rendering MCP provide in TypingMind?

Cloudflare Browser Rendering exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Cloudflare Browser Rendering MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Cloudflare Browser Rendering requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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