How to Use the Urlbox MCP in AutoGen

Q: Can I use Urlbox's visual tools in an AutoGen framework?

Yes. You can task agents with running sequences like takefullpagescreenshot followed by takemobilescreenshot. The debate then centers on reconciling the differences between those two generated images.

Running Consensus Checks on Web Content with AutoGen.

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Create your Vinkius account to connect Urlbox 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 Urlbox with AutoGen

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Debating URL Fidelity using MCP Server

In an AutoGen workflow, you can assign different agents specialized roles. One agent might use `take_full_page_screenshot` to capture the primary view, while a second 'Auditor' agent runs `get_metadata`. They then debate whether the metadata accurately reflects the visual content captured. This consensus-driven decision process is perfect for validating data integrity across multiple sources and tool calls.

Cross-Platform Content Review with AutoGen

You need to know if a webpage looks good on mobile *and* desktop. You assign one agent to run `take_mobile_screenshot` and another to run `take_retina_screenshot`. The agents discuss the visual differences, flagging inconsistencies or suggesting needed adjustments based on their respective findings. This allows your AutoGen setup to handle complex quality assurance tasks that require multiple perspectives before reaching a conclusion.

Generating Actionable Reports via MCP Server

The goal isn't just the screenshot; it's the report. You can have one agent capture all necessary data—the visual content, the metadata, and potentially generate a PDF using `generate_pdf`. The final 'Reporting Agent' then synthesizes these disparate outputs into a single deliverable. This mimics a real-world committee meeting, where different experts contribute pieces of information that must be assembled into one authoritative answer.

Setup guide

Set up Urlbox 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 Urlbox 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="Urlbox_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="Urlbox_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Urlbox. 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.

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Common questions about Urlbox MCP in AutoGen

The MCP Server tools provide discrete, verifiable inputs for the agents to argue over. One agent executes `take_screenshot`, and another compares that output against data from `get_metadata`. The disagreement or consensus drives the conversation.

Yes. You can task agents with running sequences like `take_full_page_screenshot` followed by `take_mobile_screenshot`. The debate then centers on reconciling the differences between those two generated images.

The server touches URL content and metadata. This includes raw visual image data from all screenshot methods, structured details gathered by `get_metadata`, and the compiled text/visual output needed for PDF generation.

Absolutely. Because each tool call is a clear operation (read data, create file, take picture), it gives your agents specific, undeniable facts to debate over, leading to robust conclusions.

You structure the prompt such that different agents are assigned different URLs and tool calls. The conversation then becomes an aggregation of these distinct, multi-source findings.

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