Browserless MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Browserless through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Browserless Assistant",
instructions=(
"You help users interact with Browserless. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Browserless"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Browserless MCP Server
Connect your Browserless.io account to any AI agent and orchestrate your headless Chrome operations, web automation, and document generation through natural conversation.
The OpenAI Agents SDK auto-discovers all 8 tools from Browserless through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Browserless, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Visual Captures — Take high-quality screenshots of any URL with advanced options like full-page capture.
- Document Generation — Convert any web page into a polished PDF document directly from your workspace.
- Rendered Content — Retrieve the fully rendered HTML content of JavaScript-heavy websites.
- Custom Scraping — Run targeted scraping requests by providing element selectors to extract specific data.
- Infrastructure Monitoring — Monitor active sessions, retrieve usage statistics, and check the health of the Browserless service.
- Configuration Access — Access and verify your account configuration and limits using natural language.
The Browserless MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Browserless to OpenAI Agents SDK via MCP
Follow these steps to integrate the Browserless MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from Browserless
Why Use OpenAI Agents SDK with the Browserless MCP Server
OpenAI Agents SDK provides unique advantages when paired with Browserless through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Browserless + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Browserless MCP Server delivers measurable value.
Automated workflows: build agents that query Browserless, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Browserless, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Browserless tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Browserless to resolve tickets, look up records, and update statuses without human intervention
Browserless MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect Browserless to OpenAI Agents SDK via MCP:
check_system_health
Check the health of the Browserless service
generate_pdf
Generate a PDF of a URL
get_account_config
Retrieve account configuration
get_page_content
Retrieve the rendered HTML content of a URL
get_usage_stats
Retrieve account usage statistics
list_active_sessions
List currently active browser sessions
run_scrape
Run a custom scraping script
take_screenshot
Take a screenshot of a URL using headless Chrome
Example Prompts for Browserless in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Browserless immediately.
"Take a full-page screenshot of https://news.ycombinator.com."
"Generate a PDF of the article at https://example.com/blog/post-1."
"Scrape the titles of all products on https://example.com/shop."
Troubleshooting Browserless MCP Server with OpenAI Agents SDK
Common issues when connecting Browserless to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Browserless + OpenAI Agents SDK FAQ
Common questions about integrating Browserless MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Browserless with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Browserless to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
