How to Use the eduMe MCP in Vercel AI SDK

Q: How do I filter active users in Vercel AI SDK?

Your agent can run listtrainedusers to pull the active roster. From there, the SDK processes the list to show who is currently enrolled in active courses.

Feed live eduMe mobile training metrics directly into your React components using the Vercel AI SDK and the eduMe MCP Server.

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Connect eduMe MCP to Vercel AI SDK

Create your Vinkius account to connect eduMe 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 eduMe with Vercel AI SDK

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Claude

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Render live learner profiles in Vercel AI SDK frontends

Stop making users wait for heavy background syncs. Your Next.js app can now fetch live training history on demand by letting your AI client call `get_user_training_profile` directly during a chat session. The Vercel AI SDK streams this data straight to the browser. Instead of rendering a boring text dump, you can parse the raw JSON from `search_trainees_by_keyword` and feed it into a React component.

Expose real-time training audits via MCP Server tools

Running audits shouldn't freeze your UI. This MCP Server gives your edge functions direct access to team performance data without setting up complex backend cron jobs. When your agent executes `quick_team_training_audit`, the raw metrics stream straight into your UI layout. Your users get an interactive, highly responsive dashboard that handles heavy data loads without stuttering.

Display top course metrics instantly inside your app

Users want to see what courses are trending without clicking through three different dashboards. Your AI client can query `list_top_performing_courses` to find popular content and present it immediately. Because the Vercel AI SDK handles streaming natively, these course lists appear cell-by-cell. You can also pull specific modules using `get_course_details` to show exactly what each lesson covers.

Setup guide

Set up eduMe 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 eduMe 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 eduMe 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 eduMe. 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

visibility into every interaction

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

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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 eduMe MCP in Vercel AI SDK

Install the required packages and set up the HTTP client. Pass the tools from your client configuration directly to your streaming function, and remember to close the connection when the request finishes.

Yes, you can. The Vercel AI SDK lets you intercept tool calls like `list_training_courses` and render custom UI components, meaning your users see actual course cards instead of raw text.

It runs perfectly on the edge. Because the server uses lightweight HTTP transport, your agents can query `get_edume_account_metadata` without hitting cold start delays.

Your agent can run `list_trained_users` to pull the active roster. From there, the SDK processes the list to show who is currently enrolled in active courses.

User profiles, names, and training history remain secure inside the V8 sandbox environment. Vinkius processes these sensitive identifiers through ephemeral sessions, meaning no personal records are stored on our servers.

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