Can I trigger a data extraction for a specific URL?

Yes! Use the `run_robot` tool with the Robot ID and the target URL (`origin_url`). Your agent will create a new task in Browse AI to extract the data instantly.

How do I retrieve the data once a robot finishes its task?

Simply ask the agent to `get_task` and provide the Task ID. If the status is 'successful', it will return the JSON structure containing all the captured data fields.

Can I list all the robots I have trained in my account?

Yes. Use the `list_robots` tool. It will retrieve all the approved robots currently available in your Browse AI dashboard, including their names and unique IDs.

Browse AI MCP Server for AutoGen 10 tools — connect in under 2 minutes

Name: Browse AI
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Browse AI as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="browse_ai_agent",
            tools=tools,
            system_message=(
                "You help users with Browse AI. "
                "10 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 orchestrate your web scraping, data extraction, and website monitoring workflows through natural conversation.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Browse AI tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

What you can do

Robot Oversight — List all your approved robots and retrieve detailed metadata for each scraper.
Task Execution — Trigger robot runs (tasks) on specific URLs and monitor their progress in real-time.
Data Retrieval — Retrieve structured data captured by your robots directly into your workspace.
Website Monitoring — List and create monitor schedules to track changes on any website automatically.
Bulk Operations — Manage and inspect bulk runs to extract data from multiple sources at once.
System Status — Check the health and queue status of the Browse AI infrastructure.

The Browse AI MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen 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 Browse AI to AutoGen via MCP

Follow these steps to integrate the Browse AI MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 10 tools from Browse AI automatically

Why Use AutoGen with the Browse AI MCP Server

AutoGen provides unique advantages when paired with Browse AI through the Model Context Protocol.

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Browse AI tools to solve complex tasks

Role-based architecture lets you assign Browse AI tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Browse AI tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Browse AI tool responses in an isolated environment

Browse AI + AutoGen Use Cases

Practical scenarios where AutoGen combined with the Browse AI MCP Server delivers measurable value.

Collaborative analysis: one agent queries Browse AI while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Browse AI, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Browse AI data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Browse AI responses in a sandboxed execution environment

Browse AI MCP Tools for AutoGen (10)

These 10 tools become available when you connect Browse AI to AutoGen via MCP:

create_monitor

Create a new monitor schedule for a robot

get_bulk_run

Get details of a specific bulk run

get_robot

Get details of a specific robot

get_system_status

Check Browse AI system and queue status

get_task

Get status and extracted data for a task

list_bulk_runs

List all bulk runs for a robot

list_monitors

List all monitors for a specific robot

list_robots

List all approved robots

list_tasks

List all tasks for a specific robot

run_robot

Run a robot to extract data (creates a task)

Example Prompts for Browse AI in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with Browse AI immediately.

"List all my approved web scraping robots."

"Run robot rob_123 on https://example.com/product."

"Retrieve the data from task task_99283."

Troubleshooting Browse AI MCP Server with AutoGen

Common issues when connecting Browse AI to AutoGen through the Vinkius, and how to resolve them.

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Browse AI + AutoGen FAQ

Common questions about integrating Browse AI MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Browse AI tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.