LearnUpon MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect LearnUpon through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 LearnUpon, 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 LearnUpon MCP Server
Connect your LearnUpon portal to any AI agent to automate your learning management operations. This MCP server enables your agent to interact with learner accounts, course catalogs, and enrollment data directly.
The Vercel AI SDK gives every LearnUpon tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Learner Management — List and search for users, and automate the creation or updating of learner profiles
- Course Discovery — Query your entire course library and search for specific training content by name
- Enrollment Automation — Manage user enrollments, link learners to courses, and handle unenrolling when needed
- Progress Tracking — Monitor enrollment statuses and identify learner participation across your portal
- Bulk Operations Support — Retrieve paginated lists of data to maintain large-scale learning environments
The LearnUpon MCP Server exposes 9 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 LearnUpon to Vercel AI SDK via MCP
Follow these steps to integrate the LearnUpon 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 9 tools from LearnUpon and passes them to the LLM
Why Use Vercel AI SDK with the LearnUpon MCP Server
Vercel AI SDK provides unique advantages when paired with LearnUpon 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 LearnUpon integration everywhere
Built-in streaming UI primitives let you display LearnUpon 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
LearnUpon + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the LearnUpon MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query LearnUpon in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate LearnUpon tools and return structured JSON responses to any frontend
Chatbots with tool use: embed LearnUpon capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with LearnUpon through natural language queries
LearnUpon MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect LearnUpon to Vercel AI SDK via MCP:
create_user
Requires email/username, password, and name. Create a new learner account
enroll_user_in_course
Requires course_id and user identification. Enroll a user into a specific course
list_courses
List all available courses
list_enrollments
List all course enrollments
list_users
Use this to identify user IDs for enrollment or updates. List all learner accounts
search_courses
Search for courses by name
search_users
Search for users by email or username
unenroll_user
Remove a user enrollment from a course
update_user
Update an existing user account
Example Prompts for LearnUpon in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with LearnUpon immediately.
"Find the user with email 'learner@example.com' in LearnUpon."
"Search for courses related to 'Cybersecurity'."
"Enroll user ID '12345' into course ID '101'."
Troubleshooting LearnUpon MCP Server with Vercel AI SDK
Common issues when connecting LearnUpon to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLearnUpon + Vercel AI SDK FAQ
Common questions about integrating LearnUpon 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 LearnUpon 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 LearnUpon to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.