# How to integrate Cloudflare browser rendering MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Cloudflare browser rendering MCP with OpenAI Agents SDK",
  "toolkit": "Cloudflare browser rendering",
  "toolkit_slug": "cloudflare_browser_rendering",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/cloudflare_browser_rendering/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/cloudflare_browser_rendering/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:06:45.818Z"
}
```

## Introduction

This guide walks you through connecting Cloudflare browser rendering to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Cloudflare browser rendering agent that can capture a full-page screenshot of example.com, extract all product prices from a category page, get the html and image of a login page through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Cloudflare browser rendering account through Composio's Cloudflare browser rendering MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Cloudflare browser rendering with

- [ChatGPT](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/chatgpt)
- [Claude Agent SDK](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/codex)
- [Cursor](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/cursor)
- [VS Code](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/cli)
- [Google ADK](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Cloudflare browser rendering
- Configure an AI agent that can use Cloudflare browser rendering as a tool
- Run a live chat session where you can ask the agent to perform Cloudflare browser rendering operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## What is the Cloudflare browser rendering MCP server, and what's possible with it?

The Cloudflare browser rendering MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Cloudflare browser rendering account. It provides structured and secure access to headless browser automation and rendering on Cloudflare’s global infrastructure, so your agent can capture screenshots, extract data, generate snapshots, and automate browser tasks on your behalf.
- Automated webpage screenshot capture: Instantly instruct your agent to capture high-quality screenshots of any web page or HTML content with custom viewport and clipping options.
- Combined DOM and visual snapshot generation: Direct your agent to create a full webpage snapshot with both the rendered HTML and an image, perfect for archiving or analysis.
- Precise HTML element scraping: Ask your agent to extract specific text, HTML, attributes, or box metrics from rendered web pages using CSS selectors—ideal for detailed data collection or monitoring changes.
- Account management automation: Enable your agent to fetch and manage all accessible Cloudflare accounts, making it easy to orchestrate browser rendering tasks across different environments.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CLOUDFLARE_BROWSER_RENDERING_CAPTURE_SCREENSHOT` | Capture Screenshot | Tool to capture a webpage screenshot. Use when you need a visual snapshot of a URL or HTML with optional viewport and clipping. Always validate screenshot content — the tool returns a successful result even when the captured page is a 404 or error page, with no error signal raised. |
| `CLOUDFLARE_BROWSER_RENDERING_LIST_ACCOUNTS` | List Accounts | List all Cloudflare accounts accessible to the authenticated API token. Returns account IDs, names, types, and settings. Use this to retrieve a valid account_id required by other browser-rendering actions like capture_screenshot, scrape_html_elements, and take_webpage_snapshot. |
| `CLOUDFLARE_BROWSER_RENDERING_SCRAPE_HTML_ELEMENTS` | Scrape HTML Elements | Tool to scrape HTML elements for text, HTML, attributes, and box metrics. Use when you need detailed data of matched selectors after rendering a page. |
| `CLOUDFLARE_BROWSER_RENDERING_TAKE_WEBPAGE_SNAPSHOT` | Take Webpage Snapshot | Capture both rendered HTML content and a screenshot of a webpage in a single request. Returns the full DOM content as a string and a Base64-encoded screenshot image. Useful when you need both visual representation and page content for analysis. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Cloudflare browser rendering MCP server is an implementation of the Model Context Protocol that connects your AI agent to Cloudflare browser rendering. It provides structured and secure access so your agent can perform Cloudflare browser rendering operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Cloudflare browser rendering project
- Some knowledge of Python or Typescript

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Cloudflare browser rendering.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only cloudflare_browser_rendering.
- The router checks the user's Cloudflare browser rendering connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Cloudflare browser rendering.
- This approach keeps things lightweight and lets the agent request Cloudflare browser rendering tools only when needed during the conversation.
```python
# Create a Cloudflare browser rendering Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["cloudflare_browser_rendering"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Cloudflare browser rendering
const session = await composio.create(userId as string, {
  toolkits: ['cloudflare_browser_rendering'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Cloudflare browser rendering. "
        "Help users perform Cloudflare browser rendering operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Cloudflare browser rendering. Help users perform Cloudflare browser rendering operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["cloudflare_browser_rendering"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Cloudflare browser rendering. "
        "Help users perform Cloudflare browser rendering operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['cloudflare_browser_rendering'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Cloudflare browser rendering. Help users perform Cloudflare browser rendering operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Cloudflare browser rendering MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Cloudflare browser rendering.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Cloudflare browser rendering MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/chatgpt)
- [Claude Agent SDK](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/codex)
- [Cursor](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/cursor)
- [VS Code](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/cli)
- [Google ADK](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/cloudflare_browser_rendering/framework/crew-ai)

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Cloudflare browser rendering MCP?

With a standalone Cloudflare browser rendering MCP server, the agents and LLMs can only access a fixed set of Cloudflare browser rendering tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Cloudflare browser rendering and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Cloudflare browser rendering tools.

### Can I manage the permissions and scopes for Cloudflare browser rendering while using Tool Router?

Yes, absolutely. You can configure which Cloudflare browser rendering scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Cloudflare browser rendering data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)