How to Use the Hubilo MCP in Vercel AI SDK

Stream real-time event analytics directly into your Vercel AI SDK frontend without the wait.

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Connect Hubilo MCP to Vercel AI SDK

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

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Live event data in your React UI

Feed `get_booth_analytics` and `list_attendees` results directly into your Vercel AI SDK components. Your users see engagement metrics populate as the stream hits your edge functions. Stop relying on loading spinners and stale state. This MCP Server pushes raw data into your UI layer, keeping your event dashboard responsive and current.

Instant event session lookups

Trigger `list_sessions` and `list_speakers` queries via your existing AI client flow. You get structured JSON back that fits right into your component props. Your frontend handles the data display while the AI manages the request logic. It's a clean split between your presentation layer and the Hubilo data source.

Manage tickets and orders

Fetch transaction details using `list_orders` or `list_tickets` and render them in your dashboard. You can show registration status to your users the moment the agent finishes its call. These tools return the specific metadata you need for order tracking. No more manual parsing or heavy backend processing to get basic attendee counts.

Setup guide

Set up Hubilo 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 Hubilo 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 Hubilo 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 Hubilo. 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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place for every integration

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Common questions about Hubilo MCP in Vercel AI SDK

Install the MCP client via npm and initialize it with your server URL. You then pass the tool definitions directly into your generateText or streamText calls.

Yes. Because the server supports streaming, your UI components update as soon as the tool returns the requested information.

The connection uses a strict endpoint token for authentication. Your sensitive attendee registration data never hits the client-side directly; it passes through your secure edge functions.

The SDK catches the error on the server side. You should implement standard try-catch blocks to handle potential rate limits or connectivity issues gracefully.

Not really. You just need to ensure your environment variables hold the correct endpoint and API token. Once connected, the tools function like any other local provider.

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