How to Use the MailboxPower MCP in Google ADK

Q: Can Google ADK trigger MailboxPower gifts based on BigQuery data?

Absolutely. The agent queries your warehouse and uses sendshipment for specific accounts. You tie physical marketing directly to data-driven triggers.

Q: How do I restrict which MailboxPower tools my Google ADK agent sees?

You apply the toolnames filter when setting up the McpToolset. This prevents the agent from calling sendshipment if you only want it running listcontacts for auditing.

Q: Does MailboxPower handle high-volume contact syncing with Google ADK?

The agent uses createcontact and addcontacttogroup to push records. Gemini's massive context window lets it process huge batches of customer data in a single reasoning step.

Connect BigQuery data to physical mail fulfillment using Google ADK and this MCP Server.

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Connect MailboxPower MCP to Google ADK

Create your Vinkius account to connect MailboxPower 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 MailboxPower with Google ADK

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Ship physical items with Google ADK

`send_shipment` turns BigQuery rows into physical deliveries. The MCP connection lets your Gemini agent read a massive dataset, identify high-value accounts, and trigger the fulfillment API. You map enterprise data directly to real-world touchpoints. Long-context windows change how you select recipients. The agent processes thousands of customer interaction logs at once to decide who deserves a gift. It then fires the shipment command without leaving the Google Cloud environment.

Route enterprise leads to physical campaigns

`list_automations` and `add_contact_to_automation` handle campaign routing. The agent queries available MailboxPower sequences and matches them to customer profiles. This links your Vertex AI predictive models to analog marketing. You control the flow of contacts. `list_contacts` pulls the current MailboxPower database for reconciliation against your cloud warehouse. The agent keeps both systems aligned automatically.

Segment audiences via this MCP Server

`create_group` and `add_contact_to_group` segment your audience. Gemini generates specific cohorts based on recent product usage data. It builds these lists directly in the fulfillment system. Managing individual records happens through `create_contact` and `get_contact`. The agent verifies the details against your master database before executing any physical mail request. Mistakes cost money, so the agent validates everything first.

Setup guide

Set up MailboxPower 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 MailboxPower 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="MailboxPower_agent",
    model="gemini-2.0-flash",
    instruction="You have access to MailboxPower 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 MailboxPower. 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 MailboxPower MCP in Google ADK

You install google-adk via pip. Initialize a McpToolset with your StreamableHttpServerParameters and pass it to your LlmAgent. The agent will read the available commands immediately.

Absolutely. The agent queries your warehouse and uses `send_shipment` for specific accounts. You tie physical marketing directly to data-driven triggers.

You apply the tool_names filter when setting up the McpToolset. This prevents the agent from calling `send_shipment` if you only want it running `list_contacts` for auditing.

The agent uses `create_contact` and `add_contact_to_group` to push records. Gemini's massive context window lets it process huge batches of customer data in a single reasoning step.

The server processes mailing addresses, names, and company details. Vinkius routes these requests through a zero-trust architecture. No persistent storage exists between the agent request and the API execution.

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