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How to Use the JumpCloud MCP in Vercel AI SDK

Stream JumpCloud user and system data directly into your Next.js app with the Vercel AI SDK. No more loading spinners.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect JumpCloud MCP to Vercel AI SDK

Create your Vinkius account to connect JumpCloud 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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Build Live Audit Dashboards

Stop building internal tools that feel slow. With the Vercel AI SDK, you can pipe data from JumpCloud straight into your UI components. Your agent calls `list_users` or `list_systems`, and the results stream in, populating your tables in real-time. This gives your admins an immediate, live view of the environment. They can see the full user directory or device fleet render on screen as the data arrives from the API. It’s the right way to build responsive, information-dense admin panels.

Instant User Profile Lookups

Create a user lookup tool that actually feels fast. An admin types a username, and your agent uses the `get_user` tool. Instead of waiting for the entire request to finish, the Vercel AI SDK streams the response, letting you render the user's details, group memberships, and security settings as they become available. This is perfect for help desk or IT security dashboards where speed is critical. You get the information you need—right now—without waiting for a full API roundtrip.

Stream Audits with this MCP Server

Build a compliance dashboard that shows security posture live. Your agent can call `list_policies`, `list_applications`, and `list_networks` in sequence. The results stream directly into your frontend, updating your UI with the current state of security policies, SSO apps, and RADIUS networks. This isn't a static report; it's a living view of your JumpCloud configuration. The AI SDK makes it simple to connect your agent's findings to what your team sees on screen, turning routine audits into an interactive experience.

Setup guide

Set up JumpCloud 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 JumpCloud transactions",
});

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

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

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Real-time monitoring

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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

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Single dashboard

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place for every integration

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

Common questions about JumpCloud MCP in Vercel AI SDK

Connect this MCP Server to your `createMCPClient`. In your component, call a function that uses `streamText` with an agent instructed to run the `list_users` tool. The hook will yield the data as it arrives, letting you update state piece by piece.
Yes. Your AI agent can use the `list_systems` tool, and the Vercel AI SDK will stream the device list directly into your UI. It's a straightforward way to build a live inventory dashboard for all company hardware.
Use the `list_applications` tool. Your agent gets a list of all configured SSO applications, and the results stream back to your client. You can build a UI that shows app assignments without ever showing a loading spinner.
Correct. All ten tools, including `get_user` and `list_policies`, are read-only (`GET` requests). The server cannot make any changes to your JumpCloud users, systems, or settings.
This server only reads non-sensitive metadata like usernames, group memberships, and system details. Your Vinkius endpoint token authenticates every request, and all communication with the JumpCloud API is over an encrypted channel. No personally identifiable information beyond account names is processed.

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