How to Use the Kaseya MCP in Vercel AI SDK

Q: Can the Vercel AI SDK filter Kaseya agent lists?

Yes. You can pass specific arguments to listagents within your tool definitions. This allows your app to pull only the relevant devices for the current user.

Q: Does the Vercel AI SDK support Kaseya script execution?

You can trigger listscripts to view available automation. Your agent then decides which script to run based on the context of your application.

Stream Kaseya VSA 10 data directly into your React or Next.js components using the Vercel AI SDK.

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Connect Kaseya MCP to Vercel AI SDK

Create your Vinkius account to connect Kaseya 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.

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Setup Kaseya with Vercel AI SDK

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Real-time device monitoring in Vercel AI SDK

Pipe `list_agents` results straight into your frontend state. Your users see device status updates as they happen without waiting for a full page refresh. Stop relying on static dashboards. With the Vercel AI SDK, your UI reacts to live infrastructure data immediately.

Instant system diagnostics for Vercel AI SDK

Fetch `get_system_info` and `get_agent_details` to display granular hardware specs inside your web app. Your agent parses the data and renders meaningful summaries for the end user. This keeps your application logic clean. You handle the view layer while your agent manages the heavy lifting of data retrieval.

Proactive alert management via Vercel AI SDK

Expose `list_alarms` to your agent so it can flag urgent issues in your UI. The AI processes the alarm queue and highlights critical items for your team. Your application remains responsive while the agent filters through noise. It turns raw alarm logs into actionable insights on the screen.

Setup guide

Set up Kaseya 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 Kaseya 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 Kaseya 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 Kaseya. 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.

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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 Kaseya MCP in Vercel AI SDK

Install the MCP client package and initialize it with your Vinkius endpoint URL. Pass the Kaseya tools into your generateText function to start querying your infrastructure.

Yes. You can pass specific arguments to `list_agents` within your tool definitions. This allows your app to pull only the relevant devices for the current user.

Your data travels over encrypted channels directly to your agent. Vinkius handles the authentication layer, ensuring your private infrastructure logs stay isolated.

You can trigger `list_scripts` to view available automation. Your agent then decides which script to run based on the context of your application.

We enforce strict scoping on all MCP tools. Your agent only accesses the specific asset lists and system logs you authorize, keeping your device records private.

Use it with your favorite AI tools

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