ARGUS Cloud MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ARGUS Cloud through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using ARGUS Cloud, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every ARGUS Cloud tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the ARGUS Cloud MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 6 tools from ARGUS Cloud and passes them to the LLM
Why Use Vercel AI SDK with the ARGUS Cloud MCP Server
Vercel AI SDK provides unique advantages when paired with ARGUS Cloud through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same ARGUS Cloud integration everywhere
Built-in streaming UI primitives let you display ARGUS Cloud tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
ARGUS Cloud + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ARGUS Cloud MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ARGUS Cloud in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ARGUS Cloud tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ARGUS Cloud capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ARGUS Cloud through natural language queries
ARGUS Cloud MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect ARGUS Cloud to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting ARGUS Cloud to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpARGUS Cloud + Vercel AI SDK FAQ
Common questions about integrating ARGUS Cloud MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect ARGUS Cloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ARGUS Cloud to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.