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How to Use the Lob MCP in Google ADK

Connect Gemini models to the physical world by sending mail and checks directly from your Google ADK enterprise workflows.

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Google ADK

Connect Lob MCP to Google ADK

Create your Vinkius account to connect Lob 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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Clean address databases using Google ADK and Lob

The Lob MCP Server provides `verify_us_address` and `autocomplete_us_address` to clean up address records directly from your enterprise data pipelines. Your Gemini agent pulls raw customer records from BigQuery and formats them using these tools. Because Gemini handles massive context windows, you can feed thousands of messy address rows into the model at once. The agent processes the batch, calls the verification tools, and writes the standardized data back to your cloud database.

Trigger physical mail campaigns from cloud data

The `create_postcard` and `create_letter` tools let your Google ADK agent send physical mail based on customer behavior. The agent analyzes user activity logs to decide when to print and mail a targeted postcard. Use `create_template` to store your HTML designs. The agent dynamically pulls user data from your Vertex AI pipelines, populates the template variables, and dispatches the mail piece without manual intervention using the MCP protocol.

Automate billing and check printing from Google ADK

The `create_bank_account` and `create_check` tools enable your agent to run automated accounts payable workflows. The agent verifies vendor information, registers the bank details, and mails the physical check. You can track the status of these payments by calling `list_checks` or `get_check`. This allows your enterprise agents to handle end-to-end billing cycles while maintaining a clear audit trail in your Google Cloud console.

Setup guide

Set up Lob 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Lob 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="Lob_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Lob tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lob. 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 Lob MCP in Google ADK

Import `McpToolset` from the SDK and initialize it with the Vinkius HTTP transport URL. Pass this toolset directly to your `LlmAgent` instance to make all 21 Lob tools available to your Gemini model.
Yes. Use the optional tool names filter in the `McpToolset` configuration to expose only specific tools like `verify_us_address` or `create_letter`, blocking the agent from accessing financial tools like check creation.
Gemini's million-token context window lets you pass large batches of raw address data. The agent iterates through the list, calling `verify_us_address` for each record to clean your database systematically.
Yes. The agent calls `list_letters` or `get_letter` to retrieve the current tracking status and expected delivery date, which you can then log back into your Google Cloud databases.
Vinkius routes all MCP Server traffic through ephemeral, isolated V8 sandboxes. Your routing numbers, account details, and recipient names are never stored on disk, ensuring strict compliance with enterprise data privacy standards.

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