How to Use the Bright Data MCP in Google ADK
Connect the Google ADK to your scraping operations and feed web data straight into your Gemini-powered pipelines.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Bright Data MCP to Google ADK
Create your Vinkius account to connect Bright Data 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.
Control scraping browsers using Google ADK
Use `list_browser_sessions` to track active sessions within your Google ADK environment. You can pull specific zone details with `get_zone_info` to configure your agent's proxy settings. This setup allows the agent to switch between zones dynamically. It maps the tool output to your existing cloud infrastructure workflows.
Run data jobs with Google ADK
Trigger your Crawl API jobs using `trigger_dataset`. The agent monitors the progress with `get_dataset_progress` and waits for the signal to pull the file. This keeps your Google ADK agent from wasting cycles on incomplete datasets. It only pulls what is ready.
Extract web insights via Google ADK
Call `get_dataset_snapshot` to retrieve your structured files. Use `send_request` for real-time SERP data that feeds directly into your Gemini reasoning loops. Your agent parses this web data as part of its long-context tasks. It turns raw web output into actionable cloud-based decisions.
Set up Bright Data 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 Bright Data 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="Bright Data_agent",
model="gemini-2.0-flash",
instruction="You have access to Bright Data 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 Bright Data. 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 Bright Data MCP in Google ADK
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