How to Use the Home River Group MCP in Google ADK

Plug your Google ADK agents into the Home River Group API to manage properties and maintenance using Google Cloud infrastructure.

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Connect Home River Group MCP to Google ADK

Create your Vinkius account to connect Home River Group 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 Home River Group with Google ADK

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Google ADK integration for property management

Use `get_properties` as the entry point for your agent to navigate your portfolio. This tool returns the necessary IDs to power all downstream queries. Google ADK allows you to pipe this data directly into your existing BigQuery workflows. You are no longer limited to manual reports.

Headless maintenance tracking

Deploy your agent to monitor and update work orders via `get_work_orders`. It can flag urgent repairs and alert your team through your standard Google Cloud monitoring channels. When a maintenance issue is identified, use `create_work_order` to submit it. Your agent handles the payload and confirms the submission against the Entrata backend.

Query lease and unit availability

Your agent can check unit status using `get_availability` and pull specific lease details with `get_lease_info`. This is ideal for agents managing high-volume leasing inquiries. Keep your data fresh by connecting this MCP server to your Gemini-powered agent. It can reason over 1M+ tokens to summarize ledger history or resident account status.

Setup guide

Set up Home River Group 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 Home River Group 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="Home River Group_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Home River Group tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Home River Group. 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 Home River Group MCP in Google ADK

Install the toolset and define your server parameters using `StreamableHttpServerParameters`. Once configured, your agent can call any of the 10 available tools.

It does. You can restrict which tools are exposed to your agent using the `tool_names` filter in your configuration. This ensures your agent only performs authorized actions on property data.

Absolutely. You can write your agent logic to pull data from `get_residents` or `get_ledgers` and push it into your existing data lake on Google Cloud.

Yes. You can feed large chunks of property data into your agent's context window. This allows the model to perform complex analysis across your entire portfolio.

Data is transmitted over encrypted channels directly to your agent. Vinkius operates a zero-trust environment where resident financial records are never persisted or cached by the server itself.

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