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How to Use the ZenRows MCP in Google ADK

Feed enterprise data into Google ADK agents using ZenRows web scraping.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect ZenRows MCP to Google ADK

Create your Vinkius account to connect ZenRows 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.

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Structured Data Extraction for BigQuery Integration

The `scrape_autoparse` tool automatically extracts structured data from messy pages. This clean, predictable output is ideal because you're feeding it directly into BigQuery tables via your Google ADK agent. It saves you the manual work of cleaning up web scrapes before they hit Vertex AI for analysis.

High-Fidelity HTML Capture with MCP Server

The `scrape_html` tool handles proxy rotation and CAPTCHA challenges, ensuring your agent keeps running even on difficult sites. This reliable raw capture is perfect for feeding into long-context reasoning within the Google ADK. It bypasses many common web roadblocks, giving you a complete picture of the source material.

Markdown Conversion for Long Context Reasoning

Use `scrape_markdown` to convert entire page contents into clean Markdown. This strips out navigation bars and ads, leaving only core content. This focus on signal over noise is critical when your Google ADK agent has 1M+ tokens of context to process.

Setup guide

Set up ZenRows 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. 1

    Install Google ADK

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

  2. 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. 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. 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 ZenRows 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="ZenRows_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ZenRows tools via MCP.",
    tools=mcp_tools,
)

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

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 ZenRows MCP in Google ADK

ZenRows provides specialized tools. For instance, `scrape_custom` lets you define exactly which pieces of information your agent needs to retrieve and process.
Yes. You can use `scrape_js` if the data is loaded dynamically, or use `scrape_antibot` when sites are aggressively protected from scrapers.
You can. The `scrape_geo` tool allows you to target content specific to countries like the US or Great Britain, making your enterprise data regionally accurate.
For maximum reliability, use `scrape_premium`. This tool sets premium proxies, which gives you a higher degree of anonymity when gathering inputs for your agent.
ZenRows touches public web content (HTML and structured text). It manages proxy rotation to minimize exposure while collecting information that feeds into BigQuery or Vertex AI.

Start using the ZenRows MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for ZenRows. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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