How to Use the Home River Group MCP in CrewAI

Q: How is sensitive tenant information protected during CrewAI operations?

All operations involving getresidents and tenant contact info are isolated within ephemeral Vinkius sandboxes. No resident data is ever cached or used to train public AI models, preserving absolute tenant privacy.

Deploy autonomous agent crews to manage Home River Group maintenance queues and leasing leads using CrewAI.

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Connect Home River Group MCP to CrewAI

Create your Vinkius account to connect Home River Group to CrewAI 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 CrewAI

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Deploy a CrewAI team to manage properties

`get_properties` serves as the entry point for your CrewAI multi-agent team to map out managed assets across Home River Group. This MCP Server enables specialized multi-agent teams to locate specific property IDs, while an operations agent calls `get_units` to audit physical layout data. Your agents pass Home River Group property context without friction in this collaborative CrewAI setup. For instance, one agent can identify vacant spaces using `get_availability` and immediately hand those unit details to a marketing agent to post online.

Run autonomous leasing desks with CrewAI

`get_leads` lets your CrewAI intake agent monitor incoming rental prospects for Home River Group. Once a high-intent prospect is identified, a specialized leasing agent uses `create_lead` to register them in the CRM. The CrewAI team handles follow-ups by analyzing Home River Group resident profiles via `get_residents`. This ensures the leasing agents do not waste time pitching units to existing tenants who already have active agreements.

Coordinate complex maintenance queues autonomously

`get_work_orders` allows a CrewAI triage agent to monitor active maintenance requests across Home River Group properties. The agent categorizes these requests by urgency, ensuring emergency issues are addressed before minor cosmetic repairs. When a resident reports a new issue, a CrewAI coordinator agent uses `create_work_order` to log the ticket. The crew then checks the resident's status with `get_lease_info` to ensure the work order is billed to the correct Home River Group account.

Setup guide

Set up Home River Group MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Home River Group tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Home River Group Analyst",
    goal="Access and analyze Home River Group data via MCP.",
    backstory="Expert analyst with direct Home River Group access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Home River Group transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Home River Group Analyst",
        goal="Access and analyze Home River Group data via MCP.",
        backstory="Expert analyst with direct Home River Group access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Home River Group transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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 CrewAI

You can pass your Vinkius HTTP endpoint directly into the agent's `mcps` array during initialization. For more control, use `MCPServerHTTP` from the `crewai.mcp` package to filter specific tools.

Yes, CrewAI uses shared memory so a triage agent can analyze a tenant issue, and then pass the structured details to a dispatch agent who executes `create_work_order`.

You can assign a specialized finance agent the exclusive right to use `get_ledgers`. This agent analyzes transaction histories and flags delinquent accounts without exposing sensitive financial data to other agents in the crew.

CrewAI supports stdio, SSE, and Streamable HTTP transports. When connecting to Vinkius, the Streamable HTTP transport is recommended for its reliability and low latency.

All operations involving `get_residents` and tenant contact info are isolated within ephemeral Vinkius sandboxes. No resident data is ever cached or used to train public AI models, preserving absolute tenant privacy.

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