Urbanise MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Api Health, Create Maintenance Job, Get Client Profile, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Urbanise through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Urbanise app connector for Vercel AI SDK is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Urbanise, 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 Urbanise MCP Server
Connect your Urbanise property management account to any AI agent and simplify how you coordinate building operations, financial records, and community engagement through natural conversation.
The Vercel AI SDK gives every Urbanise tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Property Management — List all property plans and retrieve detailed metadata for your managed ecosystem.
- Occupant & Strata Support — List residents and owners to manage communications and community directories.
- Maintenance Control — Create, list, and track maintenance jobs and facility tasks directly from your agent.
- Financial Visibility — Query ledger data, billing records, and property budgets to stay on top of your accounts.
- Supply Chain — List managed suppliers and service providers associated with your property plans.
- Asset Tracking — Monitor building equipment and infrastructure assets managed in the FM module.
The Urbanise MCP Server exposes 12 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.
All 12 Urbanise tools available for Vercel AI SDK
When Vercel AI SDK connects to Urbanise through Vinkius, your AI agent gets direct access to every tool listed below — spanning strata-management, facility-management, building-operations, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify Urbanise API connectivity
Requires job title and description. Schedule a new maintenance task
Get authenticated client details
List chart of accounts
List active event webhooks
List infrastructure equipment
Retrieve ledger and billing info
List facility maintenance tasks
List property suppliers
List budgets for plans
List residents and owners
List all property plans
Connect Urbanise to Vercel AI SDK via MCP
Follow these steps to wire Urbanise into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Urbanise MCP Server
Vercel AI SDK provides unique advantages when paired with Urbanise 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 Urbanise integration everywhere
Built-in streaming UI primitives let you display Urbanise 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
Urbanise + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Urbanise MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Urbanise in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Urbanise tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Urbanise capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Urbanise through natural language queries
Example Prompts for Urbanise in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Urbanise immediately.
"List all property plans managed in my Urbanise account."
"Show me all active maintenance jobs for 'Sunset Heights'."
"Create a maintenance job: 'Fix leaking pipe in Room 402'."
Troubleshooting Urbanise MCP Server with Vercel AI SDK
Common issues when connecting Urbanise to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUrbanise + Vercel AI SDK FAQ
Common questions about integrating Urbanise 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.