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How to Use the join.me MCP in Vercel AI SDK

Stream join.me meeting data directly into your React or Next.js UI using the Vercel AI SDK for real-time collaboration.

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Vercel AI SDK

Connect join.me MCP to Vercel AI SDK

Create your Vinkius account to connect join.me 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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Instant meeting control for your UI

Trigger `start_adhoc_meeting` directly from your frontend components to launch browser-based sessions without forcing users through a download. Your AI client handles the signaling, so the link appears in your UI the moment the session initializes. This keeps your application flow uninterrupted. Users stay within your interface while the background logic handles the heavy lifting of session creation and state management.

Real-time meeting data streaming

Feed `list_meetings` results straight into your state management to show upcoming sessions as they happen. Because you are using the Vercel AI SDK, you avoid the lag of traditional polling by streaming tool outputs as they arrive. Your application remains responsive while the server fetches current session details. This gives users a live view of their schedule without waiting for a full page refresh.

Dynamic webhook management

Use `create_webhook` to subscribe your application to live meeting events and receive updates as they occur. This ensures your frontend stays synced with actual session activity without manual intervention. Managing your event flow is straightforward. You can easily audit your active connections using `list_webhooks` to ensure your app is only tracking the meetings that matter.

Setup guide

Set up join.me 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all join.me tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 join.me transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by join.me. 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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Single dashboard

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about join.me MCP in Vercel AI SDK

You connect the server using the `createMCPClient` utility provided by the library. Once initialized, you map the tools to your model and start calling functions like `schedule_meeting` directly in your code.
Yes. By using `create_webhook`, you can push event data to your API endpoints. Your model can then process these events to trigger notifications or UI updates within your application.
It does. Since the MCP server communicates over HTTP, it plays nice with edge runtimes. Just make sure your environment variables for the endpoint are set correctly.
Invoke the `list_meetings` tool. It returns an array of your current sessions, which you can iterate over to render custom lists in your React components.
The server only touches your meeting metadata like start times, participant counts, and session IDs. Your credentials stay secure and the connection is restricted to the specific tools you expose.

Start using the join.me MCP today

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