Learn Amp MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Complete Item, Create User, Deactivate User, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Learn Amp 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 App Connector for Vercel AI SDK
The Learn Amp app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Learn Amp, 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 Learn Amp MCP Server
Connect your Learn Amp organizational account to any AI agent and take full control of your learning and development workflows through natural conversation.
The Vercel AI SDK gives every Learn Amp tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- User Management — List all users, create new accounts, and manage profile data across your organization.
- Content & Courses — Query the complete library of learning items, documents, and interactive courses.
- Learning Pathways — List and inspect Learnlists to understand curated employee development tracks.
- Progress Tracking — Mark items as complete and monitor engagement verbs across the platform.
- Access Control — Deactivate or reactivate user accounts to maintain a secure and up-to-date directory.
The Learn Amp MCP Server exposes 10 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.
All 10 Learn Amp tools available for Vercel AI SDK
When Vercel AI SDK connects to Learn Amp through Vinkius, your AI agent gets direct access to every tool listed below — spanning lxp, lms, employee-development, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Mark a learning item as complete for a user
Create a new user in Learn Amp
The user data remains but they can no longer log in. Deactivate a user account
Get details for a specific learnlist
Get details for a specific user
List all learning items (courses, content)
List all learnlists (learning pathways)
List all users from Learn Amp
List all available action verbs
Update an existing user
Connect Learn Amp to Vercel AI SDK via MCP
Follow these steps to wire Learn Amp into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Learn Amp MCP Server
Vercel AI SDK provides unique advantages when paired with Learn Amp 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 Learn Amp integration everywhere
Built-in streaming UI primitives let you display Learn Amp 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
Learn Amp + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Learn Amp MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Learn Amp in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Learn Amp tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Learn Amp capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Learn Amp through natural language queries
Example Prompts for Learn Amp in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Learn Amp immediately.
"List all active users in my Learn Amp account."
"Show me all available courses related to 'Compliance'."
"Mark course 8823 as completed for user 1029."
Troubleshooting Learn Amp MCP Server with Vercel AI SDK
Common issues when connecting Learn Amp to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLearn Amp + Vercel AI SDK FAQ
Common questions about integrating Learn Amp 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.