How to Use the Urlbox MCP in Google ADK

Q: How do I ensure the source URLs are valid before processing them with Urlbox using the Google ADK?

You first execute getmetadata. This lets your agent validate the URL's basic structure and existence, preventing wasted compute cycles on broken links before you call any visual tools.

Process large-scale web visual audits using Google ADK for enterprise cloud workflows.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Urlbox MCP to Google ADK

Create your Vinkius account to connect Urlbox to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Urlbox with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Capture High-Fidelity Web Visuals

When you're analyzing massive amounts of data, pixel accuracy matters. The MCP Server lets your agents capture full pages using `take_full_page_screenshot`, or get specific high-DPI images with `take_retina_screenshot`. This level of detail is crucial when feeding visual evidence into BigQuery analysis.

Generate Structured PDFs

Don't manage thousands of JPEGs. Use the `generate_pdf` tool to convert a live URL into one predictable, verifiable document format. This PDF output can then be indexed and queried directly within your Google Cloud infrastructure.

Validate Source Data

Before running complex reasoning in Vertex AI, you need source validation. The `get_metadata` tool pulls basic but critical information about a URL. This lets your agents confirm the source integrity before attempting deep content analysis using the MCP Server.

Setup guide

Set up Urlbox MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Urlbox tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Urlbox_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Urlbox tools via MCP.",
    tools=mcp_tools,
)

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 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.

Why Choose Vinkius

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

Connect Urlbox 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 Urlbox MCP in Google ADK

You configure the McpToolset to expose the URLbox tools. Your agents can then call functions like `take_full_page_screenshot` and pass those visual results alongside your existing BigQuery data.

Yep, the MCP Server supports specific mobile user agent capture via `take_mobile_screenshot`. This means you can run visual tests simulating a real-world phone experience right within your Gemini workflow.

The server handles visual assets (screenshots and PDFs) and source text metadata. These outputs are designed to be easily consumed by large-context models in Vertex AI.

It is. By converting a URL into a PDF, you create a single, consistent artifact that your agents can reliably process and hold context on, even when dealing with extensive data sets.

You first execute `get_metadata`. This lets your agent validate the URL's basic structure and existence, preventing wasted compute cycles on broken links before you call any visual tools.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript