How to Use the DoorLoop MCP in Google ADK

Q: How do I configure Google ADK to discover tools from the DoorLoop MCP Server?

Use the McpToolset class with your HTTP server parameters in Python. Pass this toolset directly to your LlmAgent to let Gemini call tools like listproperties in real time.

Q: How does Google ADK handle long-context reasoning with DoorLoop data?

Gemini models digest massive outputs from getrentrollreport and listtenants at once. The framework passes the raw tool outputs directly into the model's context window for deep reasoning.

Q: How does this MCP Server secure my tenant details and rent roll data?

All requests containing data from gettenantdetails are processed within your isolated Google Cloud perimeter. Vinkius runs the connector in ephemeral sandboxes, ensuring your tenant identities are never exposed to public networks.

Connect the DoorLoop MCP Server to Google ADK to analyze entire property portfolios with long-context Gemini models.

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Connect DoorLoop MCP to Google ADK

Create your Vinkius account to connect DoorLoop 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 DoorLoop with Google ADK

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Analyze portfolio performance with Google ADK

Feed your entire rental history into Gemini's million-token context window. This MCP Server lets your agent pull complex lease lists using `list_leases` and property structures with `list_properties` to run deep financial analysis. You don't have to worry about chunking data or hitting context limits. Combine your real-time property data with historical tables in BigQuery. The Google ADK agent pulls current numbers through `get_rent_roll_report` and runs SQL queries to spot occupancy trends before they affect your cash flow.

Dispatch maintenance using regional vendor data

Let your enterprise agent manage repair queues at scale. By using `list_work_orders` to find open issues, the agent can cross-reference physical locations with your Google Cloud database of approved local contractors. Once a match is found, the agent triggers `create_work_order` and assigns the job to the correct team. It pulls vendor records with `list_vendors` to verify contact details before sending out the assignment.

Automate tenant communications on Google Cloud

Run background agents that monitor tenant accounts. The agent checks tenant profiles with `get_tenant_details` and matches them against active units using `list_units` to flag late payments or upcoming lease expirations. Because Google ADK runs natively on your cloud infrastructure, you can trigger these checks using Cloud Functions. You get a reliable, headless system that monitors your properties without keeping a terminal window open.

Setup guide

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

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Common questions about DoorLoop MCP in Google ADK

Use the `McpToolset` class with your HTTP server parameters in Python. Pass this toolset directly to your `LlmAgent` to let Gemini call tools like `list_properties` in real time.

Yes. You can deploy your Google ADK agent on Cloud Run or Cloud Functions. The agent connects to the hosted MCP endpoint to fetch details like `get_lease_details` on demand.

Gemini models digest massive outputs from `get_rent_roll_report` and `list_tenants` at once. The framework passes the raw tool outputs directly into the model's context window for deep reasoning.

Yes. You can use the optional tool name filter in the toolset configuration to expose only specific tools, like limiting a support agent to `list_units` and `get_property_details`.

All requests containing data from `get_tenant_details` are processed within your isolated Google Cloud perimeter. Vinkius runs the connector in ephemeral sandboxes, ensuring your tenant identities are never exposed to public networks.

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