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idloom MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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 idloom, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 idloom MCP Server

Empower your AI agents to manage your events ecosystem with idloom.events. This MCP server allows you to list and retrieve events, manage attendees, track invoices, and view transactions directly through the idloom API. Ideal for automating event logistics and registration workflows.

The Vercel AI SDK gives every idloom tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

The idloom MCP Server exposes 10 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.

How to Connect idloom to Vercel AI SDK via MCP

Follow these steps to integrate the idloom MCP Server with Vercel AI SDK.

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 10 tools from idloom and passes them to the LLM

Why Use Vercel AI SDK with the idloom MCP Server

Vercel AI SDK provides unique advantages when paired with idloom 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 idloom integration everywhere

03

Built-in streaming UI primitives let you display idloom 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

idloom + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

idloom MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect idloom to Vercel AI SDK via MCP:

01

get_attendee

Retrieves details for a specific attendee

02

get_event

Retrieves details for a specific event

03

list_attendees

Lists all attendees

04

list_categories

Lists all categories

05

list_emails

Lists all emails

06

list_events

Lists all events managed in idloom

07

list_invoices

Lists all invoices

08

list_registration_forms

Lists all registration forms

09

list_transactions

Lists all transactions

10

list_webhooks

Lists all webhooks

Example Prompts for idloom in Vercel AI SDK

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

01

"List all active events in my idloom account."

02

"Show me the attendee list for event ID '123'."

03

"Check for any unpaid invoices."

Troubleshooting idloom MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

idloom + Vercel AI SDK FAQ

Common questions about integrating idloom 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.

Connect idloom to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.