How to Use the Dotloop MCP in Google ADK

Q: Will Google ADK support Dotloop tool filtering?

Yes, you can use a toolnames filter. This restricts the agent to only the specific Dotloop tools you want to expose to your enterprise workflow.

Integrate Dotloop transactions into your Google ADK infrastructure for scalable real estate workflows.

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Connect Dotloop MCP to Google ADK

Create your Vinkius account to connect Dotloop 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 Dotloop with Google ADK

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Analyze Dotloop folders in Google ADK

Your agent scans your document structure using `list_loop_folders`. It identifies exactly where each file sits so you can find what you need without searching manually. This data feeds directly into your Google Cloud pipeline. You get clear visibility into your document organization across every active transaction.

Retrieve Dotloop profile details

Use `list_profiles` to map out your brokerage and association connections. Your agent pulls this data to ensure you are interacting with the correct profile context every time. Standardizing your profile access prevents cross-contamination of transaction data. It keeps your enterprise agents aligned with the right business unit.

List Dotloop documents with precision

The `list_folder_documents` tool allows your agent to itemize every file in a folder. This provides a structured list of signed and pending documents for any loop. Your agent can then verify the status of these files. You save hours of manual verification by letting the agent audit your document inventory.

Setup guide

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

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Common questions about Dotloop MCP in Google ADK

Use the McpToolset class in your Python script. Point it at your Vinkius endpoint, and Google ADK will expose the tools to your LlmAgent.

Yes, you can use a tool_names filter. This restricts the agent to only the specific Dotloop tools you want to expose to your enterprise workflow.

The MCP server is transport-agnostic and runs easily within your existing Google Cloud environment. It connects directly to the Dotloop API via Vinkius.

The framework treats tools as native extensions. When you query `list_loops`, the agent executes the call and processes the response through your existing logic.

We use an isolated Vinkius sandbox to process your transaction records. Your sensitive real estate data, such as participant names and property addresses, never touches unencrypted storage.

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