Browse AI MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create Monitor, Get Robot Details, Get Run Status, and more
GDPR Free for SubscribersThe OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Browse AI 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 for OpenAI Agents SDK
The Browse AI MCP Server for OpenAI Agents SDK is a standout in the Data Management category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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="Browse AI Assistant",
instructions=(
"You help users interact with Browse AI. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Browse AI"
)
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 Browse AI MCP Server
Connect your Browse AI account to any AI agent and take full control of your no-code web scraping and automated monitoring workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Browse AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Browse AI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Robot Orchestration — List and manage all web scraping robots in your account programmatically, retrieving detailed configuration and high-fidelity extraction history
- Automated Task Execution — Programmatically trigger new robot runs with custom parameters (e.g., origin URL) to coordinate high-fidelity data collection in real-time
- Website Monitoring Intelligence — Create and manage monitoring schedules to track changes on any website and maintain a perfectly coordinated data pipeline
- Event Architecture — Access and monitor robot webhooks for instant notifications and retrieve detailed log metadata directly through your agent
- Financial Visibility — Programmatically track your account subscription status and credit usage to coordinate your automated data quotas efficiently
The Browse AI MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Browse AI tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Browse AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-extraction, no-code, web-monitoring, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create monitor on Browse AI
Add new schedule
Get robot details on Browse AI
Get robot info
Get run status on Browse AI
Check task progress
Get usage quotas on Browse AI
Check credit balance
Get user profile on Browse AI
Get account info
List active monitors on Browse AI
List scheduled scrapers
List bulk operations on Browse AI
List bulk task runs
List robot history on Browse AI
List past runs
List robot webhooks on Browse AI
Get event configs
List robots on Browse AI
List scraping robots
Remove webhook on Browse AI
Delete robot webhook
Trigger robot run on Browse AI
Start scraping task
Connect Browse AI to OpenAI Agents SDK via MCP
Follow these steps to wire Browse AI into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Browse AI MCP Server
OpenAI Agents SDK provides unique advantages when paired with Browse AI 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
Browse AI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Browse AI MCP Server delivers measurable value.
Automated workflows: build agents that query Browse AI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Browse AI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Browse AI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Browse AI to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Browse AI in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Browse AI immediately.
"List all available scraping robots in my account."
"Trigger robot 'rob_123' to scrape 'https://vinkius.com/pricing'."
"Check the status and results for task 'task_456'."
Troubleshooting Browse AI MCP Server with OpenAI Agents SDK
Common issues when connecting Browse AI to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Browse AI + OpenAI Agents SDK FAQ
Common questions about integrating Browse AI 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?
Explore More MCP Servers
View all →
Chatsistant
8 toolsDeploy white-label AI assistants for your clients with custom branding, knowledge bases, and conversation analytics.
NCDC Climate Data Online
10 toolsAccess authoritative historical weather and climate data via NCDC — track datasets, stations, and climate records directly from your AI agent.
Planet Labs
12 toolsAccess daily satellite imagery via Planet Labs — search PSScene, SkySat, and RapidEye imagery, filter by cloud cover, and set up automated imagery delivery from any AI agent.
Tingg Insights
12 toolsAnalyze mobile payment and fintech data across African markets with insights that reveal transaction trends and user behavior.