How to Use the idloom MCP in Vercel AI SDK

Q: Can I use the Vercel AI SDK to pull attendee details from idloom?

Yes, you can. The model invokes the getattendee tool on the MCP Server, which fetches the participant data and streams the JSON payload straight to your frontend.

Q: How do I clean up the connection after fetching invoice lists?

You must always call mcpClient.close() at the end of your execution block. This prevents open connections from hanging after your agent calls listinvoices or listtransactions.

Feed live idloom event registrations and attendee lists directly into your React components with the Vercel AI SDK.

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Connect idloom MCP to Vercel AI SDK

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

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Live Attendee Feeds in Your React App

When someone registers for your event, your AI client can instantly show their profile on screen. By calling `get_attendee` and streaming the response, your interface updates without making the user stare at a boring loading spinner. This MCP Server lets your application pull live registration forms using `list_registration_forms` directly inside edge functions. You don't have to write complex API polling logic anymore. Your Vercel AI SDK application uses `list_attendees` to fetch the attendee list and render it as the data arrives. It keeps your event dashboard fast and responsive.

Instant Event and Category Directories

Your UI can now render event directories on the fly. The AI client calls `list_events` to pull all active setups from idloom, matching them with `list_categories` to group them correctly for the visitor. Because this runs on edge-compatible endpoints, the response times stay incredibly low. You get the raw data from `get_event` and pipe it straight to the client's screen, making the entire browsing experience feel instant.

Live Transaction Feeds via MCP Server

Keep your finance dashboard updated by letting your Vercel AI SDK setup watch event payments. The agent hooks into `list_transactions` and `list_invoices` to display real-time billing updates. Instead of waiting for a batch cron job, the data flows directly to the browser. Your dashboard displays the current registration forms status and invoice totals the second the idloom API sends them.

Setup guide

Set up idloom 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 idloom 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 idloom 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 idloom. 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 idloom MCP in Vercel AI SDK

It connects via standard HTTP or SSE transport. Your Next.js app calls `mcpClient.tools()` to grab tools like `list_events`, allowing the model to stream event details directly into your UI components without delay.

Yes, you can. The model invokes the `get_attendee` tool on the MCP Server, which fetches the participant data and streams the JSON payload straight to your frontend.

Absolutely. The server is lightweight and runs perfectly inside edge runtimes, meaning you can call `list_registration_forms` or `list_categories` without worrying about cold starts.

You must always call `mcpClient.close()` at the end of your execution block. This prevents open connections from hanging after your agent calls `list_invoices` or `list_transactions`.

Your idloom attendee records, transaction histories, and invoices never sit on our servers. All API payloads pass through an ephemeral, zero-trust sandbox that handles the token exchange and immediately destroys the session memory once the tool execution finishes.

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