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Parklio PMS MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Parklio PMS through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Parklio PMS, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Parklio PMS
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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 Parklio PMS MCP Server

Connect Parklio PMS to any AI agent and take full control of your smart parking infrastructure — manage barrier gates, digital displays, LPR cameras, and monitor hardware health through natural conversation.

The Vercel AI SDK gives every Parklio PMS tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • Lot Management — List and inspect all parking facilities in your network
  • Gateway Control — Monitor barrier and camera status (online/offline)
  • Remote Operations — Open/close barriers and reboot devices remotely
  • Display Messaging — Update digital signs for maintenance or welcome messages
  • Activity Auditing — View logs of all barrier movements and system events
  • System Health — Get global operational metrics and uptime stats

The Parklio PMS MCP Server exposes 10 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 Parklio PMS to Vercel AI SDK via MCP

Follow these steps to integrate the Parklio PMS MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Parklio PMS and passes them to the LLM

Why Use Vercel AI SDK with the Parklio PMS MCP Server

Vercel AI SDK provides unique advantages when paired with Parklio PMS through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Parklio PMS integration everywhere

03

Built-in streaming UI primitives let you display Parklio PMS tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Parklio PMS + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Parklio PMS MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Parklio PMS in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Parklio PMS tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Parklio PMS capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Parklio PMS through natural language queries

Parklio PMS MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Parklio PMS to Vercel AI SDK via MCP:

01

create_gateway

Requires lot_id, name, and type (e.g., entry_barrier, exit_camera, lpr_reader). Use this when installing new physical hardware. Register a new hardware gateway (barrier, reader) to a parking lot

02

get_activity_logs

Optional lot_id filter. Use this for security auditing and operational troubleshooting. View system activity and audit logs

03

get_lot_details

Get detailed configuration and statistics for a specific parking lot

04

get_system_status

Use this for a high-level operational check. Get the overall health and operational status of the Parklio system

05

list_displays

Useful for auditing what drivers see when entering lots. List digital display screens deployed in parking lots

06

list_gateways

Use this to audit hardware health and locate offline devices. List all hardware gateways (barriers, cameras) connected to Parklio

07

list_lots

Essential for discovering available lots before managing hardware. List all managed parking lots in the Parklio system

08

pms_login

Returns an authentication token valid for subsequent API calls. Use this to refresh your session token before making other requests. Authenticate with the Parklio Parking Management System to get a token

09

run_gateway_operation

Common operations: open_barrier, close_barrier, reboot, reset_error. Use this for remote troubleshooting or manual override of barriers. Execute a remote operation on a specific gateway device

10

update_display_message

Use for maintenance alerts ("Lot Full", "System Maintenance", "Welcome to VIP Parking"). Update the text shown on a digital display screen in a parking lot

Example Prompts for Parklio PMS in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Parklio PMS immediately.

01

"Show me all offline gateways."

02

"Update display at Lot B to show 'Valet Parking This Way'."

03

"Reboot the entry barrier at Lot A."

Troubleshooting Parklio PMS MCP Server with Vercel AI SDK

Common issues when connecting Parklio PMS to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Parklio PMS + Vercel AI SDK FAQ

Common questions about integrating Parklio PMS MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Parklio PMS to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.