How to Use the Coassemble MCP in Vercel AI SDK

Stream Coassemble training data directly into your Vercel AI SDK frontends for live UI updates.

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Connect Coassemble MCP to Vercel AI SDK

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

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Real-time course tracking for Vercel AI SDK

Pipe live training data into your React components. Use `get_course_training_details` to pull specific course specs and render them instantly as the agent fetches them. Your users watch grades and completion status populate the UI without waiting for a full process to finish. This creates a responsive dashboard experience for your learners.

Manage members and groups via Vercel AI SDK

Connect your training workspace to your app logic. You can use `list_coassemble_members` and `get_member_group_associations` to display user permissions directly in your interface. This lets your frontend show exactly which groups a student belongs to in real-time. It keeps your user profile pages updated with current training metadata.

Automated enrolments in Vercel AI SDK

Trigger `enroll_member_in_course` based on user actions in your app. Your agent executes the registration and confirms the status immediately. Developers can build flows where a button click registers a user for a course. The AI handles the backend request and updates the view state for the user.

Setup guide

Set up Coassemble 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 Coassemble 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 Coassemble 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 Coassemble. 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

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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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Common questions about Coassemble MCP in Vercel AI SDK

Install the necessary MCP packages and initialize the client using your provided endpoint. Once connected, pass the tools into your streamText function to start executing commands.

Yes, you can fetch results using the provided tools. The streaming nature of the SDK allows you to push these grades into your components as soon as the agent returns them.

It does. The lightweight transport layer works perfectly within edge environments, keeping your training data requests fast and efficient.

You get access to eight specific functions. These cover everything from listing courses to handling member enrolments and group assignments.

Your training records and member lists remain encrypted during transit. We treat your student enrolments and grades as sensitive data, ensuring they only appear where you authorize them.

Use it with your favorite AI tools

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