How to Use the Mashvisor MCP in Google ADK

Bring Mashvisor real estate metrics into your Google ADK pipelines to run property analysis alongside your BigQuery data.

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Connect Mashvisor MCP to Google ADK

Create your Vinkius account to connect Mashvisor 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 Mashvisor with Google ADK

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Link property listings with Google ADK pipelines

This MCP Server links `get_city_listings` and `get_property` with the Google ADK to cross-reference Mashvisor market listings with internal datasets. By exposing this endpoint to your Google ADK LlmAgent, your agent queries live pricing. This lets you combine your private investment portfolios with live Mashvisor market realities in a single run. The Google ADK framework feeds these live Mashvisor metrics directly into your Gemini models. Because Gemini handles massive context windows, your Google ADK agent can analyze hundreds of Mashvisor properties at once without running out of memory.

Evaluate rental yields with Google ADK tools

This MCP Server exposes `get_rental_rates` and `get_airbnb_listings` to your Google ADK agent for direct yield comparisons. Calculating traditional versus vacation rental yields requires precise Mashvisor metrics. Your Google ADK agent can call these tools to check traditional lease pricing and pull active short-term listings. The Google ADK manages these calls, passing the clean Mashvisor JSON outputs to your Gemini model for immediate ROI calculations. You can restrict which Mashvisor tools are visible by using the tool name filter during Google ADK setup.

Scan neighborhoods for signals using Google ADK

This MCP Server provides `list_neighborhoods` and `search_properties` to let your Google ADK agent scan entire markets for investment signals. Finding the right market requires looking at macro trends, so your Google ADK agent uses these tools to fetch high-level Mashvisor data. Once a profitable neighborhood is found, the agent drills down into individual Mashvisor assets. This structured flow allows your Google ADK agent to build complete Mashvisor market reports. You can pipe these reports directly into BigQuery or Vertex AI pipelines to keep your investment teams updated on changing yields.

Setup guide

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

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Common questions about Mashvisor MCP in Google ADK

Use the McpToolset class with your Vinkius HTTP transport URL. Pass the toolset directly to your Google ADK LlmAgent tools parameter to give Gemini access to property search capabilities.

Yes, your Google ADK agent can query BigQuery for historical target markets and then use `search_properties` to find active Mashvisor listings. The Google ADK manages these data sources within a single runtime.

Yes, you can feed detailed Mashvisor property profiles from `get_airbnb_property` into Gemini's million-token context. This lets the Google ADK model compare dozens of complex rental histories simultaneously.

Yes, you can use the built-in tool filter in the Google ADK to expose only specific endpoints. For example, you can restrict your agent to `get_rental_rates` while hiding broader search tools.

No, all traffic is routed through isolated, ephemeral V8 sandboxes on Vinkius. Your Mashvisor property queries and rental rate estimates are never logged, maintaining strict enterprise data privacy.

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