How to Use the Luma MCP in Vercel AI SDK

Q: How do I stream Luma guest lists in real time using the Vercel AI SDK?

You call listeventguests through the SDK's tool-calling interface. The results stream directly into your UI components, rendering guest details on the fly.

Q: What happens if a Luma event query fails during a stream?

The SDK catches the error from listevents or listorganizationevents and streams the failure state. Your UI can handle this gracefully using standard error boundaries.

Build live event dashboards that stream Luma data directly into your Vercel AI SDK frontend without laggy loading spinners.

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Connect Luma MCP to Vercel AI SDK

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

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Stream live attendee lists into React

The `list_event_guests` tool lets your agent pull real-time attendee data and pipe it straight to Vercel AI SDK's streaming UI components. Instead of waiting for a massive API payload to resolve, your users see guest avatars and names populate on the screen as they load. This direct data transfer bypasses traditional state management boilerplate. You pass the tool output directly to streamText, letting the frontend render guest details instantly without stalling the user's browser.

Build instant event creation forms

The `create_event` tool handles the heavy lifting of generating new Luma pages directly from a user's conversational prompt. By running this MCP Server on Edge Functions alongside the Vercel AI SDK, you generate calendar links and registration pages with sub-second latency. Your users don't have to fill out complex multi-step forms. They type a quick sentence, your Next.js frontend catches the streamed tool call, and the event goes live instantly.

Live subscriber tracking with Vercel AI SDK

The `list_calendar_subscribers` tool feeds active subscriber counts directly into your real-time dashboard components. This MCP Server integration ensures your marketing agents can check growth metrics and trigger UI updates in the same render cycle. It eliminates the need for polling or manual refreshes. The moment a user asks about calendar growth, the SDK streams the exact subscriber list directly into the conversational interface.

Setup guide

Set up Luma 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 Luma 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 Luma transactions",
});

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

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Common questions about Luma MCP in Vercel AI SDK

You call `list_event_guests` through the SDK's tool-calling interface. The results stream directly into your UI components, rendering guest details on the fly.

Yes. The server is fully compatible with Edge runtimes, allowing the Vercel AI SDK to trigger tools like `create_event` with minimal latency.

You pass your token through the authProvider in the MCP client setup. This secures operations like `add_guests_to_event` without exposing keys to the client side.

The SDK catches the error from `list_events` or `list_organization_events` and streams the failure state. Your UI can handle this gracefully using standard error boundaries.

Vinkius runs the server in an isolated sandbox, meaning guest emails retrieved via `list_event_guests` never touch external logs. The data passes directly from Luma to your local SDK instance over a secure, encrypted transport layer.

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