How to Use the Brokermint MCP in Google ADK

Connect your Google ADK pipelines to Brokermint. Act on real estate data using Gemini's reasoning capabilities.

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Connect Brokermint MCP to Google ADK

Create your Vinkius account to connect Brokermint 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 Brokermint with Google ADK

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Google ADK integration for Brokermint

Your agent uses the `get_account_info` tool to pull your organization's core metrics into Google Cloud workflows. It links your agent directly to your backend. You gain visibility into your firm's performance without writing custom API wrappers. The toolset handles the transport layer for you.

Analyze transactions via Google ADK

Run `list_transactions` to feed deal data into your Gemini-powered agent. It processes large datasets to find patterns in your closing cycles. The integration handles the heavy lifting of data retrieval. Your agent provides insights based on current, live transaction numbers.

Manage user access through this MCP Server

The `list_users` tool exposes your agent roster to your Google ADK agent. It keeps your team list synced across your cloud tools. Your agent verifies which user initiated a change. It ensures that only authorized agents perform updates on your back-office accounts.

Setup guide

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

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Why Choose Vinkius

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Brokermint MCP in Google ADK

Define an McpToolset using your server URL. Inject this toolset into your LlmAgent to start querying your real estate data.

It supports all ten tools provided by the server. You can filter them to restrict what your agent can modify in your account.

Absolutely. Your agent pulls raw transaction data and processes it using Gemini's reasoning. It turns your back-office data into actionable intelligence.

We enforce strict isolation between your agent and the API. Your credentials never touch the model's training data, keeping your records strictly private.

Your transaction amounts and dates remain within your secured cloud VPC. We treat these records as ephemeral payloads that disappear once the agent finishes its task.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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