How to Use the Hotmart MCP in Vercel AI SDK

Q: How do I connect the Hotmart MCP Server to my Vercel AI SDK project?

Install the @ai-sdk/mcp package and initialize the client using the Vinkius endpoint. You then pass the Hotmart tools directly into streamText to let your agent fetch sales or student data.

Q: Can I stream Hotmart student progress using Vercel AI SDK?

Yes, you can stream that data. The agent calls getstudentprogress and streams the JSON payload directly to your React or Next.js frontend without waiting for the full API response.

Q: Does the Vercel AI SDK support Hotmart subscription lookups?

It does. Your agent uses the listsubscriptions tool to pull active accounts and stream the status updates directly into your user-facing chat widget.

Stream Hotmart sales metrics and student progress directly to your React frontends using this MCP Server with the Vercel AI SDK.

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Connect Hotmart MCP to Vercel AI SDK

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

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Stream course progress live using the Vercel AI SDK

The `get_student_progress` tool lets your agent pull completion rates for any user instantly. Instead of showing a generic loading spinner, the Vercel AI SDK streams these live metrics straight to your custom dashboard. Your users see the data render line by line as the agent calculates the drop-off points. This setup relies on the edge-compatible client to keep latency low. You pass the tools directly into your text generation functions, giving your front-end immediate access to student records.

Real-time sales dashboards with Vercel AI SDK

The `get_sales_summary` tool fetches your revenue figures and transaction volume over any given period. By pairing this with the Vercel AI SDK, you build interfaces that display financial trends on the fly. Your agent pulls raw numbers and formats them into clean UI components without server-side lag. Writing custom API endpoints to parse the financial data is completely unnecessary. The SDK handles the streaming transport while your agent processes the payload and updates the user's screen.

Instant subscription status checks

The `list_subscriptions` tool retrieves active recurring plans to verify who has paid. When a customer asks your agent about their billing status, the Vercel AI SDK streams the status directly into the chat interface. There is zero waiting around for a full page reload. This gives your customer support portal a massive speed boost. You get clean, real-time responses that show exactly when the next billing cycle occurs.

Setup guide

Set up Hotmart 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 Hotmart 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 Hotmart 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 Hotmart. 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.

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Common questions about Hotmart MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and initialize the client using the Vinkius endpoint. You then pass the Hotmart tools directly into `streamText` to let your agent fetch sales or student data.

Yes, you can stream that data. The agent calls `get_student_progress` and streams the JSON payload directly to your React or Next.js frontend without waiting for the full API response.

It does. Your agent uses the `list_subscriptions` tool to pull active accounts and stream the status updates directly into your user-facing chat widget.

No, Vinkius manages the authentication layer. You use a single secure token in your Vercel AI SDK setup, and the MCP Server handles the underlying API credentials.

Your financial records and student progress data never sit on persistent storage. Vinkius runs this MCP Server inside sandboxed V8 isolates, meaning your sales history is fetched on demand and processed entirely in memory.

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