How to Use the Kandji MCP in Vercel AI SDK

Q: How do I fetch Kandji device lists in Vercel AI SDK?

You initialize the client with your endpoint and call listdevices within your streamText function. The tool results flow into your UI components automatically.

Q: Can I trigger Kandji commands from Vercel AI SDK?

You can use listcommands to audit what's been sent, but the server is primarily for visibility. It focuses on reading your MDM state securely.

Q: How does Kandji handle device owner data in Vercel AI SDK?

The listusers tool maps email addresses and IDs to specific hardware. This data is handled strictly as an ephemeral pass-through for your application logic.

Stream real-time Kandji fleet data directly into your Vercel AI SDK interfaces for instant, live device visibility.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Kandji MCP to Vercel AI SDK

Create your Vinkius account to connect Kandji to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Kandji with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Audit Apple assets in the browser

Use `list_devices` to pull your entire hardware inventory into your UI without waiting for page reloads. Your front end stays responsive while the AI processes device states. This keeps your dashboard current. You don't need to build custom polling logic when the data streams through your AI client.

Track security policies with Vercel AI SDK

Call `list_parameters` to surface active security controls directly in your application components. This lets users inspect policy enforcement immediately. It exposes the raw configuration state. You get a clear view of what rules are active on your endpoints without digging through the MDM console.

Monitor deployment activity

Connect `list_activity` to your app to stream management logs as they happen. You see exactly when a command hits a device. This creates a live feed of MDM operations. Your users get immediate confirmation that their requested changes reached the target hardware.

Setup guide

Set up Kandji MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Kandji tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Kandji transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kandji. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Kandji now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Kandji MCP in Vercel AI SDK

You initialize the client with your endpoint and call `list_devices` within your streamText function. The tool results flow into your UI components automatically.

Yes. The connection uses your Vinkius-managed token to keep transit encrypted. No data is stored by the server itself, as it only proxies the API requests.

You can use `list_commands` to audit what's been sent, but the server is primarily for visibility. It focuses on reading your MDM state securely.

The server will return an error code through the MCP protocol. You should implement basic retry logic in your client to handle those transient issues.

The `list_users` tool maps email addresses and IDs to specific hardware. This data is handled strictly as an ephemeral pass-through for your application logic.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript