How do I get my ARGUS Cloud API Key?

Log in to the ARGUS Cloud Portal, navigate to your **User Preferences** or **Dashboard Settings**, and you can generate an API Key there.

Can I update valuations via this server?

This current version focuses on data retrieval and monitoring. Updating complex financial models typically requires using the ARGUS Enterprise application or the full Calculation Engine API.

What types of properties are supported?

ARGUS Cloud supports all major commercial real estate types, including Office, Retail, Industrial, Multi-family, and Mixed-use properties.

ARGUS Cloud MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Name: ARGUS Cloud
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ARGUS Cloud through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to ARGUS Cloud "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ARGUS Cloud?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About ARGUS Cloud MCP Server

The ARGUS Cloud MCP Server provides a high-level natural language interface to your Altus Group commercial real estate (CRE) management platform. Empower your AI agent to monitor your asset performance, audit portfolio health, and track real-time notifications directly from your workflow.

Pydantic AI validates every ARGUS Cloud tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

Key Capabilities

Asset Management — List all commercial properties in your account and retrieve detailed metadata including addresses and types.
Portfolio Oversight — Access and analyze your CRE portfolios to see total asset counts and high-level configurations.
Valuation Tracking — Monitor the latest valuation amounts for your properties to stay on top of market trends.
Alerts & Notifications — Retrieve recent system alerts and notifications to ensure timely response to property-level issues.
CRE Intelligence — Gain instant insights into your real estate investments without navigating complex financial models.
Secure API Access — Uses your ARGUS Cloud API key for safe and authenticated communication with your assets.

The ARGUS Cloud MCP Server exposes 6 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect ARGUS Cloud to Pydantic AI via MCP

Follow these steps to integrate the ARGUS Cloud MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from ARGUS Cloud with type-safe schemas

Why Use Pydantic AI with the ARGUS Cloud MCP Server

Pydantic AI provides unique advantages when paired with ARGUS Cloud through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ARGUS Cloud integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your ARGUS Cloud connection logic from agent behavior for testable, maintainable code

ARGUS Cloud + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the ARGUS Cloud MCP Server delivers measurable value.

Type-safe data pipelines: query ARGUS Cloud with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple ARGUS Cloud tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query ARGUS Cloud and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock ARGUS Cloud responses and write comprehensive agent tests

ARGUS Cloud MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect ARGUS Cloud to Pydantic AI via MCP:

get_account_check

Verify ARGUS account connection

get_asset

Get details for a specific asset

get_portfolio

Get details for a specific portfolio

list_assets

List all commercial real estate assets in your ARGUS account

list_notifications

List recent alerts and notifications from ARGUS

list_portfolios

List all asset portfolios

Example Prompts for ARGUS Cloud in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with ARGUS Cloud immediately.

"List all commercial assets in my account."

"Show me the latest valuation for 'Sunrise Office Plaza'."

"Are there any recent alerts from ARGUS?"

Troubleshooting ARGUS Cloud MCP Server with Pydantic AI

Common issues when connecting ARGUS Cloud to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ARGUS Cloud + Pydantic AI FAQ

Common questions about integrating ARGUS Cloud MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your ARGUS Cloud MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.