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How to Use the Browse AI MCP in Google ADK

Connect Browse AI to the Google ADK for automated web data ingestion.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect Browse AI MCP to Google ADK

Create your Vinkius account to connect Browse AI 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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Automate data extraction via Google ADK

Trigger `run_robot` from your agent to pull specific web information. This MCP Server maps the inputs directly to your scraper configuration. Your agent gets a task ID back, allowing you to manage the extraction lifecycle. It fits right into your existing Google Cloud infrastructure.

Retrieve scraped JSON with Google ADK

Call `get_task_data` once your extraction task hits the successful state. It provides the structured output ready for your BigQuery pipelines. Use `download_bulk_data` for high-volume jobs. It returns a clean JSON array, making it simple to ingest large datasets into your agent's memory.

Manage your scraper fleet from Google ADK

List your available scrapers with `list_robots`. This gives your agent the ability to select the right tool based on the target website. Use `get_robot` to inspect specific configurations. You can confirm exactly how each scraper is set up before execution.

Setup guide

Set up Browse AI 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 Browse AI 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="Browse AI_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Browse AI 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 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.

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 Google ADK

Use the `McpToolset` class and provide the server URL. Your agent then gains access to all defined tools for scraping and monitoring.
You can view all active scheduled jobs with `list_monitors`. It lets your agent confirm that your web monitoring strategy is running as expected.
Use the `get_task` tool to poll the current execution status. It returns the current state, preventing your agent from trying to read data before it is ready.
No, your endpoint token is managed by Vinkius. Your agent only sees the tools you explicitly expose through the toolset filter.
We enforce strict transport security for all extracted page data. Your web snapshots and JSON records are handled in an ephemeral sandbox, ensuring your information stays within your designated agent scope.

Start using the Browse AI 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 Browse AI. 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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