How to Use the Browse AI MCP in AutoGen

Let your AutoGen agents debate and control scrapers via this Browse AI MCP Server.

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Connect Browse AI MCP to AutoGen

Create your Vinkius account to connect Browse AI to AutoGen 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 Browse AI with AutoGen

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Claude

Perplexity

Debate scraping tasks in AutoGen

One agent suggests a `trigger_robot_run` while another checks `get_usage_quotas` to verify budget. They decide together if the scrape is worth the cost. This consensus approach prevents your agents from firing off expensive tasks blindly. They verify the robot status first.

Manage scraper lifecycle with AutoGen agents

Assign an agent to audit your scrapers using `list_active_monitors`. If it finds a broken webhook, it uses `remove_webhook` to clean up the mess. You build systems where agents hold each other accountable for scraper health. They monitor the monitors.

Automate robot discovery in AutoGen

Your agents call `list_robots` to map out available scrapers. They share this list to determine which robot fits the current user request. Every tool call is a conversation point. The agents talk through the robot details before they commit to an action.

Setup guide

Set up Browse AI MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Browse AI tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Browse AI_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Browse AI data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Browse AI_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Browse AI data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Browse AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Browse AI now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Browse AI MCP in AutoGen

Agents can discuss whether a site change requires a new scrape. They use the MCP tools to verify robot status before acting.

You provide the MCP tools to your agent group. The agents then call these tools during their deliberation process to get live data.

Yes, you pass the server tools to your AssistantAgent instances. They can share access to your account scrapers as part of their conversation.

Vinkius provides a single endpoint token that keeps your account data isolated. Your agents only see the tools you explicitly allow them to use.

We keep your account info and scraping history sandboxed. No other agents or users can touch your data through our MCP server architecture.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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