How to Use the iSpring Learn MCP in Vercel AI SDK

Q: Can I use the Vercel AI SDK to filter iSpring Learn user groups?

Yes, you use the listusergroups tool within your agent definition. This allows your code to segment learners by department before you run any enrollment logic.

Stream real-time iSpring Learn data directly into your Vercel AI SDK interface without the wait.

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…and any MCP-compatible client

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Connect iSpring Learn MCP to Vercel AI SDK

Create your Vinkius account to connect iSpring Learn 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 iSpring Learn with Vercel AI SDK

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Live learner and course status updates

Feed your UI with live data using `list_learners` and `list_learning_courses`. Your users see the actual state of their LMS instead of static placeholders. This integration updates your front end as soon as the data hits the wire. You get immediate visibility into user rosters and active training paths without extra polling logic.

Automate enrollment workflows with MCP Server

Push new user data to your LMS using `create_new_learner` directly from your React or Next.js components. It handles the record creation while your AI client manages the logic. Stop switching tabs to add trainees. Your interface triggers the request, and the server confirms the record creation instantly.

Generate compliance reports on demand

Pull raw training metrics into your application dashboard using `get_learning_report`. It formats the data so you can build custom visualizations for your HR team. Combine this with `list_course_enrollments` to see exactly who finished what. You control how the report looks, giving you full design freedom.

Setup guide

Set up iSpring Learn 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 iSpring Learn 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 iSpring Learn transactions",
});

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

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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place for every integration

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Common questions about iSpring Learn MCP in Vercel AI SDK

Install the MCP client package and initialize it with your endpoint. You then pass the tools from the server into your streamText function to start executing queries.

Yes, you use the `list_user_groups` tool within your agent definition. This allows your code to segment learners by department before you run any enrollment logic.

The server provides raw data that the AI client can stream directly into your UI. This keeps your application responsive while the server processes the request.

The server returns an error object that your code must handle. You should implement standard try-catch blocks to ensure your UI displays a clear message to the user.

Your data remains isolated within the Vercel sandbox environment. We only handle the specific user records you query, ensuring no unauthorized access occurs during the transfer.

Use it with your favorite AI tools

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

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