How to Use the ARGUS Cloud MCP in Mastra AI

Q: How do I initialize the ARGUS Cloud MCP Server in Mastra AI?

Install @mastra/mcp@latest and instantiate a new MCPClient. Pass your Vinkius endpoint URL in the servers object, then call mcpClient.listTools() to equip your agent.

Q: Can Mastra AI retry failed ARGUS Cloud queries?

The framework handles retries automatically. If a call to getasset times out due to heavy database load, the workflow pauses and tries again using exponential backoff.

Q: How do I filter ARGUS Cloud portfolios in Mastra AI?

Use the listportfolios tool to grab the top-level directory. You write conditional logic in your workflow to inspect the results and only trigger getportfolio for groups matching your criteria.

Build resilient commercial real estate workflows by connecting Mastra AI to your ARGUS Cloud account.

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Connect ARGUS Cloud MCP to Mastra AI

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

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Automate ARGUS Cloud portfolio tracking

The `list_portfolios` tool feeds your Mastra AI workflow with high-level asset groupings. You build conditional branches that iterate through these portfolios on a schedule. If a specific group shows irregularities, the agent automatically triggers a deeper dive into the underlying properties. Fetching the granular data happens through the `get_portfolio` endpoint. Mastra AI handles any API rate limits or timeouts natively. The framework applies exponential backoff if the commercial real estate database takes too long to respond.

Route alerts through an MCP Server

Financial analysts miss critical property updates when they rely on manual dashboard checks. You configure an agent to poll the `list_notifications` tool periodically. When new lease expirations or valuation drops appear, Mastra AI routes the alert to the correct property manager. You manage the connection state using `get_account_check`. If the authentication fails, the workflow branches into an error-handling state and alerts the administrator. You deploy this entire logic chain to your cloud provider with a single command.

Audit specific commercial assets

Pulling an individual property valuation requires the `get_asset` tool. You pass the property ID, and the agent retrieves the current capitalization rates and cash flow projections. Mastra AI lets you spread the results of `mcpClient.listTools()` directly into your agent configuration. Generating reports on these properties often requires human oversight. You configure `requireToolApproval` for the `list_assets` tool so a senior analyst must approve the query before the agent extracts the full commercial inventory.

Setup guide

Set up ARGUS Cloud MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All ARGUS Cloud tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "argus-cloud-mcp-client",
  servers: {
    "argus-cloud-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "ARGUS Cloud Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to ARGUS Cloud tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent ARGUS Cloud transactions"
);
console.log(result.text);

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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 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 Mastra AI

Install `@mastra/mcp@latest` and instantiate a new `MCPClient`. Pass your Vinkius endpoint URL in the servers object, then call `mcpClient.listTools()` to equip your agent.

The framework handles retries automatically. If a call to `get_asset` times out due to heavy database load, the workflow pauses and tries again using exponential backoff.

Use the `list_portfolios` tool to grab the top-level directory. You write conditional logic in your workflow to inspect the results and only trigger `get_portfolio` for groups matching your criteria.

The framework auto-detects the correct transport protocol. You provide the Vinkius URL, and Mastra AI negotiates whether to use Streamable HTTP or SSE to connect.

We execute your server in a zero-trust, ephemeral Vinkius environment. The cash flow models and valuation metrics you pull via `get_portfolio` pass directly to your agent. Nothing is stored after the workflow completes its run.

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