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How to Use the Apex27 MCP in Google ADK

Analyze massive Apex27 property datasets using Google ADK and Gemini long context.

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Google ADK

Connect Apex27 MCP to Google ADK

Create your Vinkius account to connect Apex27 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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Cross-Reference BigQuery Data with this MCP Server

Feeding raw estate data into your Gemini context window is simple with the `list_properties` tool, which acts through our MCP Server. Using the Google ADK, you can join your offline BigQuery market trends with live MLS listings pulled from Apex27 in real-time. Your enterprise agent can compare regional pricing trends against active listings without manual exports. You get data-driven valuation reports generated by Gemini in a single execution step.

Analyze 1M+ Token Real Estate Portfolios

Extracting historical bidding data across your portfolio is done via the `list_offers` tool to find undervalued assets. Thanks to the Google ADK, you can dump thousands of past offers and property histories from `get_property_details` into Gemini's massive context window. The model processes years of transaction history in one go. You don't have to build complex chunking pipelines to get a high-level view of your agency's performance.

Automate Viewing Schedules via Google ADK

Writing new appointments directly to your CRM is handled by the `schedule_viewing` tool from your Gemini workflows. By exposing this MCP tool to your enterprise agent, you can coordinate client calendars alongside existing Google Workspace events. The agent checks availability using `list_appointments` before securing the slot. This prevents double-bookings across your entire letting agency without requiring custom calendar sync code.

Setup guide

Set up Apex27 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 Apex27 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="Apex27_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Apex27 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 Apex27. 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 Apex27 MCP in Google ADK

Install `google-adk` and define a `McpToolset` pointing to your Vinkius HTTP endpoint. Pass this toolset directly to your `LlmAgent` to expose the real estate tools over MCP.
Yes, you can use the optional `tool_names` filter in the `McpToolset` configuration. This lets you restrict your Gemini agent to read-only tools like `list_properties` while blocking write operations.
The ADK feeds the output of MCP tools like `list_contacts` directly into Gemini's 1M+ token context window. This allows the model to analyze massive lists of applicants without hitting prompt limits.
While you can run the ADK anywhere, it integrates best with GCP services. You can easily deploy your agent to Vertex AI to automate your property management workflows.
No, your property details, tenant contacts, and financial offers are processed within your private GCP VPC. Vinkius handles the connection using ephemeral V8 sandboxes that do not persist your data.

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