How to Use the Browserless MCP in OpenAI Agents SDK

Q: How does Browserless handle session limits when called from OpenAI Agents SDK?

The SDK queries listactivesessions to count open tabs. If you hit your cap, your agent pauses execution rather than failing.

Q: How do I debug failing Browserless calls in OpenAI Agents SDK?

Every call to getpagecontent or takescreenshot shows up in the OpenAI developer dashboard. You see the exact input arguments and raw browser outputs in your trace logs.

Q: Does this MCP Server support streaming PDF data directly to OpenAI Agents SDK?

It returns a base64 string from generatepdf. Your agent receives this string and can pass it to downstream vision models or save it directly to your cloud storage.

Control headless Chrome with OpenAI Agents SDK to extract raw HTML, capture screenshots, and export clean PDFs.

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Connect Browserless MCP to OpenAI Agents SDK

Create your Vinkius account to connect Browserless to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Browserless with OpenAI Agents SDK

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Headless Chrome automation for OpenAI Agents SDK

Your OpenAI Agents SDK pipeline gets direct control of a headless browser. Feeding a URL into `get_page_content` lets your agent grab raw, fully-rendered HTML without worrying about JS execution. This MCP Server exposes browser instances directly to your agent's tool call loop. The agent can trigger `take_screenshot` or `generate_pdf` to document visual states, feeding those files right back into its own vision-enabled runs.

Guarded scraping scripts via OpenAI Agents SDK

Run custom Puppeteer or Playwright code safely inside the OpenAI Agents SDK runtime using this MCP connection. Your agent uses `run_scrape` to execute complex multi-step interactions on target sites while staying within your defined SDK safety boundaries. The agent checks runtime metrics before firing scripts. By invoking `get_usage_stats` and `list_active_sessions`, your code monitors resource consumption to prevent runaway browser loops from blowing up your OpenAI bill.

Health monitoring inside OpenAI Agents SDK

Keep production agent systems online with automated health checks. The `check_system_health` tool lets your agent verify that the remote browser cluster is responsive before initiating heavy scraping pipelines. If things look slow, the agent queries `get_account_config` to adjust its concurrency limits. This feedback loop ensures your OpenAI Agents SDK deployment never hangs on dead browser connections.

Setup guide

Set up Browserless MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Browserless tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Browserless tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Browserless tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Browserless Agent",
            instructions="You have access to Browserless tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Browserless MCP in OpenAI Agents SDK

The SDK queries `list_active_sessions` to count open tabs. If you hit your cap, your agent pauses execution rather than failing.

Yes, you pass a filtered list of tools to the agent constructor during setup. This prevents the agent from calling heavy tools like `generate_pdf` unless specifically authorized.

Every call to `get_page_content` or `take_screenshot` shows up in the OpenAI developer dashboard. You see the exact input arguments and raw browser outputs in your trace logs.

It returns a base64 string from `generate_pdf`. Your agent receives this string and can pass it to downstream vision models or save it directly to your cloud storage.

All rendered HTML, screenshot buffers, and PDF binaries reside in transient V8 memory. They are purged the instant the tool call completes, ensuring no persistent storage of your scraped content.

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