How to Use the Cloud Assess MCP in Vercel AI SDK

Q: Can Vercel AI SDK show assessment forms?

Yes. Use listassessmentforms to pull checklists directly into your chat interface. It works just like any other tool call.

Pull vocational training data into your Vercel AI SDK frontends. Stream Cloud Assess records live to your users.

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Connect Cloud Assess MCP to Vercel AI SDK

Create your Vinkius account to connect Cloud Assess 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 Cloud Assess with Vercel AI SDK

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Live student tracking in Vercel AI SDK

Feed your UI real-time snapshots of your training environment. Use `list_student_members` to populate tables or profile cards without stale data. Your users watch the state update as the AI fetches the latest info. It skips the lag you get with standard API polling.

Audit assessment progress via Vercel AI SDK

Monitor exactly where a trainee stands in their qualification track. `list_unit_enrolment_progress` provides the granular status you need to display completion bars. Connect this directly to your React components. The data flows through the SDK pipes right into your DOM.

Manage records with this MCP Server

Keep your backend logic thin by offloading record retrieval to the agent. `list_assessment_records` pulls the evidence you need for custom reporting dashboards. Your Vercel AI SDK app stays focused on rendering, while this server handles the heavy lifting of data discovery.

Setup guide

Set up Cloud Assess 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 Cloud Assess 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 Cloud Assess 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 Cloud Assess. 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

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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 Cloud Assess MCP in Vercel AI SDK

You initialize the client with your endpoint and pass the tools to your streamText function. The SDK handles the connection automatically.

Yes. Use `list_assessment_forms` to pull checklists directly into your chat interface. It works just like any other tool call.

Vinkius handles the auth layer, so your tokens aren't exposed in client code. Only authorized requests hit your training records.

The server provides the data whenever the agent calls a tool. You decide the frequency of these calls within your app logic.

It touches sensitive PII like student names and enrolment histories. We keep this data isolated within the Vinkius sandbox during transit.

Use it with your favorite AI tools

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

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