How to Use the ARGUS Cloud MCP in Pydantic AI

Q: Does Pydantic AI support both HTTP and SSE for ARGUS Cloud?

Yes, you can configure the Pydantic AI MCPToolset to use either Streamable HTTP or SSE transports depending on your network setup to keep your ARGUS Cloud MCP connection stable.

Type-safe ARGUS Cloud commercial real estate operations for your Pydantic AI workflows.

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Connect ARGUS Cloud MCP to Pydantic AI

Create your Vinkius account to connect ARGUS Cloud to Pydantic AI 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 Pydantic AI

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Type-Safe Asset Queries with Pydantic AI

The `get_asset` tool fetches specific ARGUS Cloud commercial property details and validates them against strict Pydantic AI runtime schemas. Your Pydantic AI agent ensures every ARGUS Cloud field matches your expected Python types. If the ARGUS Cloud API returns unexpected or corrupted data, the Pydantic AI agent raises a validation error immediately. This prevents bad real estate data from polluting your Pydantic AI financial models using the MCP Server.

Validated Portfolio Auditing via MCP Server

The `get_portfolio` tool pulls ARGUS Cloud asset portfolios while enforcing strict Pydantic AI structures. Pydantic AI parses the incoming ARGUS Cloud JSON to guarantee that your agent only processes correctly formatted real estate metrics. You can combine this with `list_portfolios` to map your entire ARGUS Cloud fund structure. Your Pydantic AI agent runs these validation checks at runtime, giving you complete confidence in your real estate reports.

Secure Real Estate Account Verification

The `get_account_check` tool verifies your ARGUS Cloud connection state before executing any complex Pydantic AI analytical tasks. Pydantic AI validates the connection payload to confirm your ARGUS Cloud credentials are active. Once verified, your Pydantic AI agent can safely proceed to call `list_assets`. This structured flow keeps your ARGUS Cloud real estate automation predictable and error-free.

Setup guide

Set up ARGUS Cloud MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "argus-cloud-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to ARGUS Cloud tools.",
)

result = await agent.run("List recent ARGUS Cloud transactions")
print(result.output)

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Common questions about ARGUS Cloud MCP in Pydantic AI

Install the MCP-enabled Pydantic AI package and use the unified `MCPToolset` class. Pass your Vinkius ARGUS Cloud HTTP endpoint directly into the constructor.

The Pydantic AI framework raises a validation error at runtime. This prevents your Pydantic AI agent from executing tasks with malformed ARGUS Cloud property data.

Yes, you can configure the Pydantic AI `MCPToolset` to use either Streamable HTTP or SSE transports depending on your network setup to keep your ARGUS Cloud MCP connection stable.

Yes, Pydantic AI is model-agnostic. You can run your real estate analysis using local LLMs or any commercial provider inside Pydantic AI.

Vinkius manages your ARGUS Cloud API credentials securely, exposing only a single endpoint token to your Pydantic AI code. Your commercial real estate portfolios and asset records never touch external loggers during Pydantic AI runs.

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