Can I trigger a data extraction for a specific URL?

Yes! Use the `run_robot` tool with the Robot ID and the target URL (`origin_url`). Your agent will create a new task in Browse AI to extract the data instantly.

How do I retrieve the data once a robot finishes its task?

Simply ask the agent to `get_task` and provide the Task ID. If the status is 'successful', it will return the JSON structure containing all the captured data fields.

Can I list all the robots I have trained in my account?

Yes. Use the `list_robots` tool. It will retrieve all the approved robots currently available in your Browse AI dashboard, including their names and unique IDs.

Browse AI MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Browse AI
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Browse AI as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="browse_ai_agent",
    instruction=(
        "You help users interact with Browse AI "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Browse AI MCP Server

Connect your Browse AI account to any AI agent and orchestrate your web scraping, data extraction, and website monitoring workflows through natural conversation.

Google ADK natively supports Browse AI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Robot Oversight — List all your approved robots and retrieve detailed metadata for each scraper.
Task Execution — Trigger robot runs (tasks) on specific URLs and monitor their progress in real-time.
Data Retrieval — Retrieve structured data captured by your robots directly into your workspace.
Website Monitoring — List and create monitor schedules to track changes on any website automatically.
Bulk Operations — Manage and inspect bulk runs to extract data from multiple sources at once.
System Status — Check the health and queue status of the Browse AI infrastructure.

The Browse AI MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Browse AI to Google ADK via MCP

Follow these steps to integrate the Browse AI MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Browse AI via MCP

Why Use Google ADK with the Browse AI MCP Server

Google ADK provides unique advantages when paired with Browse AI through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Browse AI

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Browse AI tools with BigQuery, Vertex AI, and Cloud Functions

Browse AI + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Browse AI MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Browse AI and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Browse AI tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Browse AI regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Browse AI

Browse AI MCP Tools for Google ADK (10)

These 10 tools become available when you connect Browse AI to Google ADK via MCP:

create_monitor

Create a new monitor schedule for a robot

get_bulk_run

Get details of a specific bulk run

get_robot

Get details of a specific robot

get_system_status

Check Browse AI system and queue status

get_task

Get status and extracted data for a task

list_bulk_runs

List all bulk runs for a robot

list_monitors

List all monitors for a specific robot

list_robots

List all approved robots

list_tasks

List all tasks for a specific robot

run_robot

Run a robot to extract data (creates a task)

Example Prompts for Browse AI in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Browse AI immediately.

"List all my approved web scraping robots."

"Run robot rob_123 on https://example.com/product."

"Retrieve the data from task task_99283."

Troubleshooting Browse AI MCP Server with Google ADK

Common issues when connecting Browse AI to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Browse AI + Google ADK FAQ

Common questions about integrating Browse AI MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.