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How to Use the Moodle MCP in Vercel AI SDK

Stream Moodle data directly into your Vercel AI SDK frontends for live academic tracking and user management.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Moodle MCP to Vercel AI SDK

Create your Vinkius account to connect Moodle 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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Real-time Course Data in your UI

Feed course assignments and grades directly into your React or Next.js components. Use `get_courses` and `get_course_grades` to trigger UI updates as your agent retrieves data. The Vercel AI SDK handles the stream, so your users see progress bars and tables populate instantly. No more waiting for full backend responses to render student performance metrics.

Live User and Assignment Tracking

Expose `get_enrolled_users` and `get_course_assignments` to verify student progress during active sessions. Your agent fetches the latest state from Moodle whenever a user interacts with your interface. Everything stays in sync with your Edge Functions. You manage the data flow using standard SDK patterns to ensure your components reflect the current database state.

Instant Messaging via MCP Server

Integrate `send_message` to let your agents communicate with students without leaving your application. This tool connects your AI client directly to the Moodle messaging system. Trigger alerts or feedback loops based on live data analysis. The MCP Server handles the connection, allowing you to focus on building the interaction logic.

Setup guide

Set up Moodle 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Moodle tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Moodle transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Moodle. 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.

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 Moodle MCP in Vercel AI SDK

Use the `get_course_grades` tool within your tool call configuration. Your agent will fetch the numerical data, and the SDK will stream it to your frontend for immediate display.
Yes, simply map `get_courses` to your agent tools. The agent will pull the full list of active courses whenever you trigger the function.
It does. By adding `send_message` to your tool definitions, your agent can push notifications to students based on the data it retrieves.
Your Moodle credentials stay on the server side. The MCP Server acts as an isolated gateway, ensuring only the specific tools you authorize can access student records.
Your agent will receive an error response from the tool. You should handle this in your SDK logic to retry or alert the user that data is temporarily unavailable.

Start using the Moodle MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Moodle. Just plug in your AI agents and start using Vinkius.

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