How to Use the Browse AI MCP in Google ADK
Connect Browse AI to the Google ADK for automated web data ingestion.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Browse AI MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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.
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 it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Browse AI MCP today
We host it, we monitor it, we maintain it. You just paste one token.