How to Use the Cloud BOT MCP in Google ADK

Connect Cloud BOT to your Google ADK agent for enterprise-grade automation on Google Cloud.

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Connect Cloud BOT MCP to Google ADK

Create your Vinkius account to connect Cloud BOT 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 Cloud BOT with Google ADK

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Launch bots from Google ADK

Use `execute_bot` to kick off specific cloud automation tasks based on your Gemini-driven reasoning. Your agent pushes parameters to the remote bot, letting it handle complex web navigation that you define in your request. This setup bridges the gap between your LLM logic and live web data. Your agent sends the intent, and the bot executes the heavy lifting on remote infrastructure.

Query bot execution history

Call `list_jobs` to pull a summary of recent activity directly into your agent’s context. This lets your agent evaluate past performance before deciding whether to trigger a new task. It provides the necessary history for your agent to make informed decisions. You stop guessing if a process succeeded and start relying on the actual job logs.

Retrieve specific bot configurations

Use `get_bot_details` to fetch metadata about your available bots. Your agent reads these details to understand parameters and requirements before it decides which tool to call. This makes your agent smarter about its own capabilities. It knows exactly what each bot needs before it attempts an execution.

Setup guide

Set up Cloud BOT 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 Cloud BOT 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="Cloud BOT_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cloud BOT 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 Cloud BOT. 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.

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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 Cloud BOT MCP in Google ADK

Initialize an McpToolset with your server parameters and add it to your LlmAgent. The framework handles the transport layer, letting you interact with Cloud BOT tools through standard Python calls.

It connects via standard HTTP transports. Your agent can run this MCP Server alongside your BigQuery and Vertex AI workflows without friction.

The server runs externally as a managed service. You simply point your agent to the Vinkius endpoint, and the tools become available for your logic.

Ensure you are using a version that supports McpToolset. It works across standard Stdio and HTTP configurations.

The server only touches browser-captured text and form fields. We isolate this information within your specific Vinkius sandbox, separate from your primary Google Cloud data.

Use it with your favorite AI tools

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