Cloud Assess MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cloud Assess through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Cloud Assess, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Cloud Assess MCP Server
Connect your Cloud Assess account to any AI agent and take full control of your RTO (Registered Training Organisation) operations through natural conversation. Streamline how you manage student progress and assessment compliance natively.
The Vercel AI SDK gives every Cloud Assess tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Student Oversight — List and retrieve details for all students (members) in your system natively
- Enrolment Intelligence — Access and monitor student enrolments in qualifications and individual units flawlessly
- Assessment Management — List and review assessment results, outcomes, and evidence records securely
- Unit Progress Tracking — Monitor progress and completion status at the unit enrolment level flawlessly
- Form & Checklist Auditing — Access specific assessment forms and data points directly within your workspace flawlessly
- Staff Visibility — List internal trainers and assessors who manage the training delivery flawlessly
The Cloud Assess MCP Server exposes 8 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 Cloud Assess to Vercel AI SDK via MCP
Follow these steps to integrate the Cloud Assess MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Cloud Assess and passes them to the LLM
Why Use Vercel AI SDK with the Cloud Assess MCP Server
Vercel AI SDK provides unique advantages when paired with Cloud Assess through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Cloud Assess integration everywhere
Built-in streaming UI primitives let you display Cloud Assess tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Cloud Assess + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Cloud Assess MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Cloud Assess in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Cloud Assess tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Cloud Assess capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Cloud Assess through natural language queries
Cloud Assess MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Cloud Assess to Vercel AI SDK via MCP:
get_student_details
Get detailed information for a specific student
list_assessment_forms
List specific forms and checklists captured within assessments
list_assessment_records
List individual assessment results and evidence records
list_student_members
List all students (members) in Cloud Assess
list_training_assessors
List all internal assessors and trainers
list_training_enrolments
List student enrolments in qualifications or units
list_training_locations
List physical or logical training locations
list_unit_enrolment_progress
List progress and status at the unit enrolment level
Example Prompts for Cloud Assess in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cloud Assess immediately.
"List all students currently enrolled in the 'Diploma of Management'."
"Show me the assessment results for student ID 'STU_12345'."
"Who is the assessor assigned to the 'Unit BSB401' for John Doe?"
Troubleshooting Cloud Assess MCP Server with Vercel AI SDK
Common issues when connecting Cloud Assess to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCloud Assess + Vercel AI SDK FAQ
Common questions about integrating Cloud Assess MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Cloud Assess with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Cloud Assess to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.