Browse AI MCP Server for Google ADKGive Google ADK instant access to 12 tools to Create Monitor, Get Robot Details, Get Run Status, and more
GDPR Free for SubscribersGoogle 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.
Ask AI about this MCP Server for Google ADK
The Browse AI MCP Server for Google ADK is a standout in the Data Management category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom 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_alternative_agent",
instruction=(
"You help users interact with Browse AI "
"using 12 available tools."
),
tools=[mcp_tools],
)
* 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 take full control of your no-code web scraping and automated 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 12 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 Orchestration — List and manage all web scraping robots in your account programmatically, retrieving detailed configuration and high-fidelity extraction history
- Automated Task Execution — Programmatically trigger new robot runs with custom parameters (e.g., origin URL) to coordinate high-fidelity data collection in real-time
- Website Monitoring Intelligence — Create and manage monitoring schedules to track changes on any website and maintain a perfectly coordinated data pipeline
- Event Architecture — Access and monitor robot webhooks for instant notifications and retrieve detailed log metadata directly through your agent
- Financial Visibility — Programmatically track your account subscription status and credit usage to coordinate your automated data quotas efficiently
The Browse AI MCP Server exposes 12 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Browse AI tools available for Google ADK
When Google ADK connects to Browse AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-extraction, no-code, web-monitoring, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create monitor on Browse AI
Add new schedule
Get robot details on Browse AI
Get robot info
Get run status on Browse AI
Check task progress
Get usage quotas on Browse AI
Check credit balance
Get user profile on Browse AI
Get account info
List active monitors on Browse AI
List scheduled scrapers
List bulk operations on Browse AI
List bulk task runs
List robot history on Browse AI
List past runs
List robot webhooks on Browse AI
Get event configs
List robots on Browse AI
List scraping robots
Remove webhook on Browse AI
Delete robot webhook
Trigger robot run on Browse AI
Start scraping task
Connect Browse AI to Google ADK via MCP
Follow these steps to wire Browse AI into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
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
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 available scraping robots in my account."
"Trigger robot 'rob_123' to scrape 'https://vinkius.com/pricing'."
"Check the status and results for task 'task_456'."
Troubleshooting Browse AI MCP Server with Google ADK
Common issues when connecting Browse AI to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkBrowse AI + Google ADK FAQ
Common questions about integrating Browse AI MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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