How to Use the Airmeet MCP in Vercel AI SDK

Q: Can the Vercel AI SDK update an Airmeet status?

Yes. Your agent can execute the updateeventstatus tool to start or pause an event. The status change reflects immediately in your frontend if you stream the tool result back.

Build live virtual event dashboards. Stream Airmeet data directly to your users with the Vercel AI SDK.

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Connect Airmeet MCP to Vercel AI SDK

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

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Perplexity

Stream Airmeet setups via Vercel AI SDK

Your frontend users don't want to wait for a loading spinner while you configure a virtual summit. Hook this MCP Server into your Next.js app and let the AI generate the event in real-time. Call `create_event` and pipe the response straight to the UI. The moment the event exists, the agent can loop in `create_session` to build out the schedule. Attendees watch the agenda populate live on their screens. You close the connection with `mcpClient.close()` when the setup finishes.

Render audience feedback instantly

Building a live moderator dashboard requires immediate data access. Vercel's streaming architecture pairs perfectly with the `list_questions` tool. Your React component renders audience questions as fast as the AI retrieves them from the active session. You can also pull `list_poll_responses` to visualize audience sentiment on the fly. The V8 Isolate Sandbox keeps the operation fast and isolated at the Edge. Your users get a dynamic interface without heavy client-side polling logic.

Deliver attendance metrics on demand

Post-event reporting usually involves exporting static files. Skip that entirely. Give your Vercel AI SDK agent access to the MCP tools like `get_event_attendance` and let users ask for their drop-off rates in plain English. When a host wants to review a specific talk, the agent triggers `get_session_recordings` to fetch the download links. The AI formats the URLs into clickable React components instantly.

Setup guide

Set up Airmeet 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 Airmeet 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 Airmeet transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Airmeet. 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 Airmeet MCP in Vercel AI SDK

Install the @ai-sdk/mcp package first. Initialize the MCP connection using createMCPClient with your Vinkius HTTP endpoint. Pass the resulting mcpClient.tools() into your streamText call.

Yes. Your agent can execute the update_event_status tool to start or pause an event. The status change reflects immediately in your frontend if you stream the tool result back.

It runs perfectly at the Edge. The HTTP transport layer requires zero heavy native dependencies. Just remember to call mcpClient.close() when your streaming response completes.

You prompt the agent with the event details. It uses the list_events tool to find the right ID, then passes that into create_session or get_session_recordings to grab the specific links.

Vinkius processes your requests inside ephemeral sandboxes that destroy themselves after execution. When your AI client pulls participant lists via list_participants, nothing gets stored on our infrastructure. The token authentication ensures only your application accesses the event data.

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