How to Use the Browserhub MCP in Google ADK

Q: Can my Google ADK agent list all blueprints in Browserhub?

Yes, use the listblueprints tool. It returns a full inventory of available scraping logic that your agent can invoke.

Q: Is Browserhub compatible with Google ADK tool filtering?

You can use the toolnames argument to restrict what the agent sees. This prevents the agent from calling functions you prefer to keep off-limits.

Connect Browserhub to your Google ADK agent for enterprise-grade web data extraction.

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Connect Browserhub MCP to Google ADK

Create your Vinkius account to connect Browserhub 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 Browserhub with Google ADK

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Integrate Browserhub with Google ADK agents

Connect this MCP Server to your LlmAgent using the McpToolset. Your agent gains the ability to parse web content and feed it directly into your BigQuery data lakes. It handles the connection via HTTP or Stdio transports. You can filter the tools you expose to ensure your agent only uses the scrapers you explicitly authorize.

Automate data fetching in Google ADK

Use `run_scraper` to initiate tasks based on your agent's reasoning process. This works well for agents that need to cross-reference real-time web data with your existing cloud infrastructure. Once the job starts, your agent can poll `get_scraping_job` to wait for the results. It makes the entire data ingestion process autonomous.

List proxy locations for Google ADK

Access global proxy networks by calling `list_proxy_locations` from your agent. This helps in scenarios where you need to scrape data from region-locked sources. Your agent can decide which location to use based on the target URL. It adds a layer of precision to your extraction strategy without manual intervention.

Setup guide

Set up Browserhub 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 Browserhub 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="Browserhub_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Browserhub 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 Browserhub. 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 Browserhub MCP in Google ADK

Install the server and pass an McpToolset instance into your LlmAgent tools list. This connects the server to your Gemini-powered agent architecture.

Yes, use the `list_blueprints` tool. It returns a full inventory of available scraping logic that your agent can invoke.

You can use the tool_names argument to restrict what the agent sees. This prevents the agent from calling functions you prefer to keep off-limits.

It does. You can scrape large amounts of text and pass the raw content into the Gemini context window for analysis.

We enforce strict endpoint token authentication for every request. Your scraping logs and account credentials are never shared with third parties or exposed to the wider Google Cloud environment.

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