How to Use the Didacte MCP in Vercel AI SDK

Q: How do I configure the Didacte MCP Server with my Vercel AI SDK project?

Install @ai-sdk/mcp and ai via npm. Use createMCPClient to connect to the Vinkius HTTP endpoint, then pass the tools directly into your streamText function. Remember to call mcpClient.close() to clean up connections.

Q: Can I stream Didacte course lists in React using the Vercel AI SDK?

Yes. The listlmscourses tool pulls your entire catalog, allowing the SDK to stream course titles and metadata straight to your React UI. The data displays chunk-by-chunk as the agent parses the response.

Q: Can my agent check active progress with this setup?

Yes. The listactivelearningprogress tool identifies which users are making moves in their courses. Your agent can query this data on demand to trigger UI notifications.

Build live-updating learning dashboards that stream Didacte LMS data directly into React using the Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Didacte MCP to Vercel AI SDK

Create your Vinkius account to connect Didacte 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.

GDPR Free for Subscribers

Setup Didacte with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Fetch course curriculums in Vercel AI SDK

The `list_course_curriculum` tool lets your Vercel AI SDK agent pull lesson structures directly from Didacte. When a user asks about a course on your Next.js site, the SDK streams the modules straight to the screen. Combining this with `get_course_details` lets your Vercel AI SDK app display pricing and access rules in the same stream. It runs on the edge, keeping your React components fast without blocking the main thread.

Track learning paths with Vercel AI SDK

The `get_user_learning_profile` tool retrieves a student's full summary and history to render custom progress bars in your Next.js app. Your Vercel AI SDK setup feeds this Didacte profile data directly into the user's viewport without waiting for background batch jobs. You can also call `list_user_enrollments` to show a student exactly what classes they are currently taking. This lets you build personalized Vercel AI SDK portals where learners see their active Didacte paths load dynamically.

Search LMS courses using this MCP Server

The `search_courses_by_title` tool queries your Didacte catalog using keyword matches to return relevant training options. Your Vercel AI SDK application takes the search term, fires the tool, and streams the matching courses into a dropdown menu. Once a student selects a course, the `list_course_enrollments` tool checks Didacte capacity limits before the Vercel AI SDK renders the registration button. This keeps your user-facing enrollment forms accurate and responsive.

Setup guide

Set up Didacte 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 Didacte 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 Didacte 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 Didacte. 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.

Connect Didacte now

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

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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 Didacte MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and `ai` via npm. Use `createMCPClient` to connect to the Vinkius HTTP endpoint, then pass the tools directly into your `streamText` function. Remember to call `mcpClient.close()` to clean up connections.

Yes. The `list_lms_courses` tool pulls your entire catalog, allowing the SDK to stream course titles and metadata straight to your React UI. The data displays chunk-by-chunk as the agent parses the response.

The MCP server connection runs over lightweight HTTP transports compatible with Vercel Edge Functions. This ensures tools like `get_account_metadata` resolve with minimal latency during edge-side rendering.

Yes. The `list_active_learning_progress` tool identifies which users are making moves in their courses. Your agent can query this data on demand to trigger UI notifications.

We protect Didacte user profiles and learning history by running the MCP server in a zero-trust V8 Isolate sandbox. Your credentials and learning metrics are never stored, and connection tokens remain ephemeral.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript