How to Use the Arbox MCP in Google ADK

Q: Can I filter tools for Arbox on Google ADK?

Use the toolnames filter when initializing the toolset. This limits the agent to only the functions you want it to access.

Connect your gym database to Google ADK for enterprise-scale agent reasoning.

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Connect Arbox MCP to Google ADK

Create your Vinkius account to connect Arbox 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 Arbox with Google ADK

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Sync gym records using Google ADK

Feed your Gemini-powered agents live member data. The `list_memberships` and `get_lead` tools bring your gym's current state into your Google Cloud infrastructure. This lets your agent analyze trends across your entire customer base. You query your gym data as if it were just another table in BigQuery.

Handle leads with Google ADK

Turn inquiries into members by running `create_lead` through your agent. It parses incoming emails or forms to populate your CRM automatically. Verification happens via `list_leads`. You maintain a clean funnel without manual data entry.

Monitor Arbox connectivity with Google ADK

Run `check_arbox_status` to ensure your agent is talking to the gym database. It prevents failed tool calls during critical operations. If the connection drops, your agent logs the error immediately. You stay informed before any issues impact your members.

Setup guide

Set up Arbox 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 Arbox 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="Arbox_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Arbox tools via MCP.",
    tools=mcp_tools,
)

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Why Choose Vinkius

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Common questions about Arbox MCP in Google ADK

Instantiate the McpToolset with your server URL. Add it to your LlmAgent tool list to make the functions available to your model.

Yes, your agent can process massive schedules by pulling data through the MCP Server. Gemini uses the context to manage complex gym operations.

All traffic passes through an encrypted tunnel. Your gym's member details remain private and are only processed in your specific environment.

Use the tool_names filter when initializing the toolset. This limits the agent to only the functions you want it to access.

The server transmits member names and email addresses directly to your runtime. We ensure this sensitive data never persists on our side.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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