How to Use the Eventee MCP in Vercel AI SDK

Q: How do I connect the Eventee MCP Server to Vercel AI SDK?

Install @ai-sdk/mcp and configure a client pointing to your Vinkius endpoint URL. Pass the tools directly into streamText or generateText to let your agent call them dynamically. Remember to call close on the client when your session ends.

Q: Can I stream speaker lists using Eventee and Vercel AI SDK?

Yes, you can use listeventspeakers to fetch and display speakers in real-time. The SDK streams the speaker profiles directly into your UI components as the agent processes the list.

Build real-time event dashboards that stream live Eventee data directly into your React frontends using Vercel AI SDK.

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Connect Eventee MCP to Vercel AI SDK

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

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Stream active event dashboards live

`list_currently_active_events` lets your web app track ongoing sessions and show live metrics to your users. When you bind this tool to your Vercel AI SDK setup, the JSON payload streams directly into your UI components without making the user wait for a full page reload. You get a live feed of active tracks and current speaker stages. The SDK feeds this raw data straight to your custom React or Next.js components so attendees always see what is happening right now.

Moderate audience Q&A on the fly

`list_event_audience_questions` feeds incoming attendee questions directly to your moderation interface. Using this Eventee MCP Server connection, your agent can instantly categorize, flag, or group questions as they arrive. The Vercel AI SDK handles the stream so moderators see the agent's suggested answers or category tags appear in real-time. It cuts down the chaos of managing a live, fast-moving Q&A panel.

Run instant engagement checks via Vercel AI SDK

`quick_event_engagement_audit` gives your application a high-level snapshot of event health, including active attendee counts and session participation. This MCP Server tool lets your admin dashboard display immediate engagement metrics without heavy custom backend logic. The streaming nature of the SDK means these audits render incrementally. Your team sees the event performance metrics populate section by section, keeping your operations team ahead of any drop-offs.

Setup guide

Set up Eventee 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 Eventee 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 Eventee 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 Eventee. 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.

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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 Eventee MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and configure a client pointing to your Vinkius endpoint URL. Pass the tools directly into `streamText` or `generateText` to let your agent call them dynamically. Remember to call close on the client when your session ends.

Yes, you can use `list_event_speakers` to fetch and display speakers in real-time. The SDK streams the speaker profiles directly into your UI components as the agent processes the list.

The SDK executes calls as needed by your agent's reasoning loop. To avoid hitting limits, you should cache heavy calls like `list_event_registered_attendees` and only poll lightweight endpoints like active events during live sessions.

No, Vinkius hosts the server for you on a secure V8 sandbox. You only need to call the endpoint from your edge functions or serverless routes using the standard SDK transport.

Your attendee lists, email addresses, and registration details from `list_event_registered_attendees` remain fully sandboxed. Vinkius runs ephemeral instances that do not store your event data or API keys, passing them securely to your frontend.

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