How to Use the ARGUS Cloud MCP in CrewAI

Q: How do I connect CrewAI to ARGUS Cloud?

Install crewaitools via pip. You can pass your Vinkius URL directly into the mcps array on your Agent definition for immediate access to the real estate tools.

Q: Can I restrict which ARGUS Cloud tools my CrewAI agents see?

Yes. Import MCPServerHTTP to configure the MCP Server and use the toolfilter parameter. This prevents your research agent from accidentally triggering alerts while it scans listassets.

Deploy specialized agent teams to monitor and analyze commercial real estate portfolios using CrewAI and the ARGUS Cloud MCP Server.

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Connect ARGUS Cloud MCP to CrewAI

Create your Vinkius account to connect ARGUS Cloud 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 ARGUS Cloud with CrewAI

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Assign agents to ARGUS Cloud assets

You configure a research agent to continuously scan your commercial inventory using the `list_assets` tool. This agent identifies properties with upcoming lease events or valuation changes. It then passes the specific property IDs to an analyst agent in your CrewAI setup. The analyst agent takes those IDs and calls `get_asset` to extract detailed financial models. Because CrewAI agents share memory, the analyst knows exactly why the researcher flagged the building. They compile a brief and hand it off to a reporting agent for final delivery.

Map portfolios via this MCP Server

Managing massive real estate holdings requires hierarchical agent execution. A manager agent queries the `list_portfolios` tool to understand the current structure. It delegates specific regions or asset classes to subordinate agents for deeper investigation. These subordinates hit the `get_portfolio` endpoint to pull the aggregated metrics. You use the `MCPServerHTTP` class from `crewai.mcp` to connect them to Vinkius. The `tool_filter` parameter ensures each subordinate only sees the specific tools they need for their assigned task.

Build autonomous alert responders

Ignoring property notifications costs money. You build a monitor agent that polls the `list_notifications` tool every hour. When it detects a critical alert about a valuation drop, it immediately alerts a moderator agent to take action. Keeping these autonomous teams running requires stable authentication. A separate maintenance agent periodically runs `get_account_check` to verify the ARGUS connection remains active. If the token expires, the crew halts execution and notifies your engineering team.

Setup guide

Set up ARGUS Cloud 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 ARGUS Cloud tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent ARGUS Cloud 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="ARGUS Cloud Analyst",
        goal="Access and analyze ARGUS Cloud data via MCP.",
        backstory="Expert analyst with direct ARGUS Cloud access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent ARGUS Cloud 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 ARGUS Cloud. 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 ARGUS Cloud MCP in CrewAI

Install `crewai[tools]` via pip. You can pass your Vinkius URL directly into the `mcps` array on your Agent definition for immediate access to the real estate tools.

Yes. Import `MCPServerHTTP` to configure the MCP Server and use the `tool_filter` parameter. This prevents your research agent from accidentally triggering alerts while it scans `list_assets`.

CrewAI uses shared memory to pass context between roles. One agent runs `list_portfolios` and stores the IDs, while a secondary analyst agent reads that memory to execute `get_portfolio` on specific targets.

The framework supports stdio, SSE, and Streamable HTTP. Since Vinkius provides managed endpoints, you configure the HTTP transport to communicate with the MCP Server.

Your commercial real estate data stays secure. The lease expirations and occupancy metrics fetched by `get_asset` run through an ephemeral V8 Isolate Sandbox on Vinkius. We require a single endpoint token and never log your financial models.

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