How to Use the Gallabox MCP in Google ADK

Q: How do I add Gallabox to my Google ADK setup?

Install google-adk and create a StreamableHttpServerParameters object with your Vinkius URL. Wrap that in an McpToolset and pass it to your LlmAgent tools array.

Q: Can I restrict which Gallabox tools my Google ADK agent sees?

You can apply a toolnames filter when configuring the toolset. This lets you expose read-only tools like listwhatsappcontacts while hiding the ability to send messages.

Q: How does Gallabox work with Gemini's context window?

You can pull massive amounts of data using listthreadmessages. Gemini easily processes months of chat history in a single prompt to generate highly contextual responses.

Give your Google ADK agents direct access to Gallabox WhatsApp channels and customer chat histories.

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Connect Gallabox MCP to Google ADK

Create your Vinkius account to connect Gallabox 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 Gallabox with Google ADK

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Manage WhatsApp threads natively

The `list_thread_messages` tool dumps entire chat histories straight into Gemini's massive context window. Google ADK agents can ingest thousands of past messages at once, making them incredibly accurate at summarizing long-running customer issues. You set this up by passing a `McpToolset` to your `LlmAgent`. Once connected, the agent can actively reply using `send_whatsapp_text` or trigger structured notifications via `send_whatsapp_template`.

Map contacts to your data

Fetching user profiles with `get_contact_details` lets your agent cross-reference WhatsApp users with your existing BigQuery tables. You get the phone number from the MCP Server and look up their purchase history in Google Cloud. This turns a basic chat bot into a highly informed entity. The agent knows exactly who it is talking to because it combines live chat data from `list_active_chats` with enterprise records.

Route chats using Google ADK

Sometimes Gemini needs to escalate a complex request. It uses `list_support_teams` to find the right human department in your organization. Before attempting any routing, you can have the agent run `verify_api_connection` or pull account status with `get_my_profile`. This ensures the system is actually online before committing to an action.

Setup guide

Set up Gallabox 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 Gallabox 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="Gallabox_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Gallabox 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 Gallabox. 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.

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Common questions about Gallabox MCP in Google ADK

Install `google-adk` and create a `StreamableHttpServerParameters` object with your Vinkius URL. Wrap that in an `McpToolset` and pass it to your `LlmAgent` tools array.

You can apply a `tool_names` filter when configuring the toolset. This lets you expose read-only tools like `list_whatsapp_contacts` while hiding the ability to send messages.

You can pull massive amounts of data using `list_thread_messages`. Gemini easily processes months of chat history in a single prompt to generate highly contextual responses.

Yes. The MCP standard operates over standard HTTP transports. Your agent runs in your Vertex AI environment and talks to the Vinkius endpoint securely.

The integration handles sensitive WhatsApp thread histories and user phone numbers. We isolate every request in a sandboxed V8 execution layer. No data persists on disk, and the connection drops immediately after the response is delivered.

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