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Luma MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Add Guests To Event, Create Event, List Calendar Subscribers, and more

Built by Vinkius GDPR 6 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Luma through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this App Connector for Vercel AI SDK

The Luma app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Luma, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Luma
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Luma MCP Server

Connect your Luma (lu.ma) account to any AI agent and take full control of your event orchestration and community engagement through natural conversation. Luma provides a robust platform for managing calendars and events, and this integration allows you to retrieve event metadata, manage guest lists, and create new activities directly from your chat interface.

The Vercel AI SDK gives every Luma tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Event & Calendar Orchestration — List all managed events and retrieve detailed metadata programmatically to ensure your community roadmap is always synchronized.
  • Guest Lifecycle Management — Access and monitor guest lists and add new attendees directly from the AI interface to maintain high-fidelity event engagement.
  • Communication & Update Control — List hosts and organizers linked to a calendar via natural language to drive better team alignment.
  • Organization Oversight — Access organizational events and monitor system webhooks using simple AI commands.
  • Operational Monitoring — Track system responses and manage event metadata to ensure your community workflows are always optimized.

The Luma MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Luma tools available for Vercel AI SDK

When Vercel AI SDK connects to Luma through Vinkius, your AI agent gets direct access to every tool listed below — spanning event-registration, community-engagement, attendee-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_guests_to_event

Manually add guests to an event

create_event

Create a new Luma event

list_calendar_subscribers

List subscribers to your calendar

list_event_guests

List guests for an event

list_events

List your Luma events

list_organization_events

List all events in your organization

Connect Luma to Vercel AI SDK via MCP

Follow these steps to wire Luma into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 6 tools from Luma and passes them to the LLM

Why Use Vercel AI SDK with the Luma MCP Server

Vercel AI SDK provides unique advantages when paired with Luma through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Luma integration everywhere

03

Built-in streaming UI primitives let you display Luma tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Luma + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Luma MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Luma in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Luma tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Luma capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Luma through natural language queries

Example Prompts for Luma in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Luma immediately.

01

"List all my upcoming events in Luma."

02

"Show me the guest list for the 'Product Launch' event."

03

"Add 'sarah@example.com' to the workshop guest list."

Troubleshooting Luma MCP Server with Vercel AI SDK

Common issues when connecting Luma to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Luma + Vercel AI SDK FAQ

Common questions about integrating Luma MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.