Browserhub MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Browserhub through 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="Browserhub Assistant",
instructions=(
"You help users interact with Browserhub. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Browserhub"
)
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 Browserhub MCP Server
Connect your Browserhub.io account to any AI agent and orchestrate your web scraping, data extraction, and proxy management workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Browserhub through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Browserhub, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Scraper Oversight — List all your configured scrapers and blueprints, and retrieve detailed metadata for each.
- Job Execution — Trigger scraping jobs with dynamic URL overrides and monitor their progress in real-time.
- Direct Scraping — Perform one-off URL extractions using real browsers without pre-defined scrapers.
- Data Retrieval — Retrieve structured data captured by your jobs directly into your workspace.
- Infrastructure Management — List available proxy locations and check your account credit balance.
- Task History — List and inspect all your previous scraping jobs.
The Browserhub MCP Server exposes 10 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 Browserhub to OpenAI Agents SDK via MCP
Follow these steps to integrate the Browserhub 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 10 tools from Browserhub
Why Use OpenAI Agents SDK with the Browserhub MCP Server
OpenAI Agents SDK provides unique advantages when paired with Browserhub 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
Browserhub + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Browserhub MCP Server delivers measurable value.
Automated workflows: build agents that query Browserhub, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Browserhub, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Browserhub tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Browserhub to resolve tickets, look up records, and update statuses without human intervention
Browserhub MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Browserhub to OpenAI Agents SDK via MCP:
direct_scrape
Perform a one-off URL scrape without a pre-defined scraper
get_account_balance
Check account credit balance
get_blueprint
Get details of a specific blueprint
get_scraper
Get details of a specific scraper
get_scraping_job
Get status and results of a scraping job
list_blueprints
List all scraper blueprints
list_proxy_locations
List all available proxy locations
list_scrapers
List all configured scrapers
list_scraping_jobs
List all scraping jobs
run_scraper
Start a scraping job using a specific scraper
Example Prompts for Browserhub in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Browserhub immediately.
"List all my configured scrapers in Browserhub."
"Scrape the URL https://example.com using the 'E-commerce' scraper."
"Check my Browserhub account credit balance."
Troubleshooting Browserhub MCP Server with OpenAI Agents SDK
Common issues when connecting Browserhub to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Browserhub + OpenAI Agents SDK FAQ
Common questions about integrating Browserhub 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 Browserhub 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 Browserhub to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.