Cloudflare Browser Rendering

OrganizationPopular

cloudflare

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…

Publisher	cloudflare
Repository	`mcp-server-cloudflare`
Language	TypeScript
Forks	529
Stars	4.3K
Available tools	0
Transport type	streamable-http
Categories	Browser Automation
License	Apache-2.0
Links	GitHub

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
4.3K stars and 529 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.

Every server in this repository exposes the same stateless Streamable HTTP handler at /mcp and /sse through a fresh SDK v2 server factory. /sse remains as a URL compatibility alias; it does not use the deprecated HTTP+SSE transport. A legacy SSE GET /sse request receives a 410 Gone Problem Details response with two migration options: configure the existing URL to use Streamable HTTP, or switch to the recommended /mcp URL for future compatibility. Modern 2026 requests and stateless 2025 requests share the same request-scoped implementation without an MCP protocol session. OAuth, credentials, account selection, application caches, and product Durable Objects remain application/security state where required.

Cloudflare offers the following MCP servers. The domain-specific servers are included in this repository, while the recommended Code Mode server is maintained in cloudflare/mcp:

Server Name	Description	Server URL
Code Mode server (recommended)	Best when you want broad access across Cloudflare's APIs through code execution	`https://mcp.cloudflare.com/mcp`
Documentation server	Get up-to-date reference information on Cloudflare	`https://docs.mcp.cloudflare.com/mcp`
Workers Bindings server	Build Workers applications with storage, AI, and compute primitives	`https://bindings.mcp.cloudflare.com/mcp`
Workers Builds server	Get insights and manage your Cloudflare Workers Builds	`https://builds.mcp.cloudflare.com/mcp`
Observability server	Debug and get insight into your application's logs and analytics	`https://observability.mcp.cloudflare.com/mcp`
Container server	Spin up a sandbox development environment	`https://containers.mcp.cloudflare.com/mcp`
Browser Run server	Fetch web pages, convert them to markdown and take screenshots	`https://browser.mcp.cloudflare.com/mcp`
Logpush server	Get quick summaries for Logpush job health	`https://logs.mcp.cloudflare.com/mcp`
AI Gateway server	Search your logs, get details about the prompts and responses	`https://ai-gateway.mcp.cloudflare.com/mcp`
AutoRAG server	Search and query account AutoRAG instances	`https://autorag.mcp.cloudflare.com/mcp`
Audit Logs server	Query audit logs and generate reports for review	`https://auditlogs.mcp.cloudflare.com/mcp`
DNS Analytics server	Optimize DNS performance and debug issues based on current setup	`https://dns-analytics.mcp.cloudflare.com/mcp`
Digital Experience Monitoring server	Get quick insight on critical applications for your organization	`https://dex.mcp.cloudflare.com/mcp`
Cloudflare One CASB server	Quickly identify any security misconfigurations for SaaS applications to safeguard users & data	`https://casb.mcp.cloudflare.com/mcp`
Radar server	Explore Cloudflare Radar internet insights	`https://radar.mcp.cloudflare.com/mcp`
Cloudflare Blog server	Search and read posts from the Cloudflare Blog	`https://blog.mcp.cloudflare.com/mcp`
Demo Day server	Demonstrate a minimal Cloudflare MCP server	`https://demo-day.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 Run

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

Connect to an MCP server

Connect any MCP client with remote-server support directly to a URL in the table above. Cloudflare AI Playground also accepts server URLs in its interface.

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 Run 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.

Open MCP connectors

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

Open TypingMind in your browser.
Go to Plugins.
Open MCP connectors.
Click Add URL.

TypingMind Add Custom MCP Server URL form

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.

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

Create the connection

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

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

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.

Start a new chat in TypingMind.
Select the AI model you want to use.
Enable the Cloudflare Browser Rendering tools from Plugins.
Ask the model to use the tool when needed.
Switch to another AI model and reuse the same MCP connection.

TypingMind chat using enabled MCP tools with a selected AI model

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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Cloudflare MCP Server

Which Cloudflare MCP server should you use?

When should you use each?

Connect to an MCP server

Using Cloudflare's MCP servers from the OpenAI Responses API

Need access to more Cloudflare tools?

Troubleshooting

Paid Features

Contributing

Installation

Use Cloudflare Browser Rendering MCP with multiple AI models

Add an MCP server URL

Open MCP connectors

Paste the server URL

Create the connection

Switch models without reconnecting

Frequently asked questions

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