How to Use the Browse AI MCP in Google ADK

Q: Can I filter Browse AI tools in the Google ADK?

Yes, just use the toolnames filter when setting up your toolset. You only expose what the agent actually needs to run.

Q: Does Browse AI support large data pulls for the Google ADK?

You can check your quotas with getusagequotas before starting big tasks. It keeps your cloud costs under control.

Connect Browse AI to the Google ADK. Feed website data directly into your Gemini-powered enterprise infrastructure.

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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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Setup Browse AI with Google ADK

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Scrape web data via Google ADK

Use `trigger_robot_run` inside your Google ADK agent to pull external site data. It puts live web content right into your agent's context window. Your agents can then analyze this data alongside your existing BigQuery tables. It bridges the gap between the open web and your cloud storage.

Control robot configurations

Query your account settings with `get_user_profile` to confirm your credentials. It ensures the ADK agent has the right access level. View existing webhooks with `list_robot_webhooks` to see how data flows out of your scraping tasks. You can use `remove_webhook` to clean up old endpoints.

Monitor scraping tasks

Get detailed info on any scraper using `get_robot_details`. This allows your agents to decide which robot is best for a specific scraping job. Check `list_bulk_operations` to see high-volume jobs that might be running. It helps you manage how much data you push into your Gemini long-context memory.

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

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 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,
)

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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 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 Google ADK

You wrap the server in an McpToolset and pass it to your LlmAgent. The ADK handles the connection over HTTP or Stdio.

It brings real-time web data into your enterprise environment. Your agents can act on fresh info rather than just static database entries.

Yes, just use the tool_names filter when setting up your toolset. You only expose what the agent actually needs to run.

You can check your quotas with `get_usage_quotas` before starting big tasks. It keeps your cloud costs under control.

Data is transmitted through an encrypted tunnel managed by Vinkius. We do not store your credentials, only the session token required for the MCP server.

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