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

main();
Brilliant Made
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60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Brilliant Made MCP Server

Connect your Brilliant Made account to any AI agent and orchestrate your corporate swag, gifting campaigns, and inventory management through natural conversation.

The Vercel AI SDK gives every Brilliant Made 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.

What you can do

  • Order Oversight — List and retrieve detailed metadata for all swag orders and monitor fulfillment progress.
  • Product Discovery — Browse your custom storefront catalog and retrieve specifications for individual product variants.
  • Inventory Tracking — Monitor real-time stock levels across your entire product range to ensure availability for campaigns.
  • Gift Card Management — List, create, and assign storefront gift cards to reward employees or clients.
  • Operational Control — Cancel pending orders directly from your workspace if needed.

The Brilliant Made 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 Brilliant Made to Vercel AI SDK via MCP

Follow these steps to integrate the Brilliant Made 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 Brilliant Made and passes them to the LLM

Why Use Vercel AI SDK with the Brilliant Made MCP Server

Vercel AI SDK provides unique advantages when paired with Brilliant Made 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 Brilliant Made integration everywhere

03

Built-in streaming UI primitives let you display Brilliant Made 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

Brilliant Made + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Brilliant Made MCP Tools for Vercel AI SDK (10)

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

01

cancel_order

Cancel an existing swag order

02

create_gift_card

Create a new storefront gift card

03

create_order

Place a new swag order

04

get_inventory_status

Retrieve real-time inventory status for all products

05

get_order

Get details of a specific order

06

get_product_variant

Get details of a specific product variant

07

list_fulfillment_orders

List all fulfillment orders

08

list_gift_cards

List all storefront gift cards

09

list_orders

List all swag orders

10

list_products

List all available products in the store

Example Prompts for Brilliant Made in Vercel AI SDK

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

01

"List all my recent swag orders in Brilliant Made."

02

"Show the current inventory status for all products."

03

"Get details for product variant var_123."

Troubleshooting Brilliant Made MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Brilliant Made + Vercel AI SDK FAQ

Common questions about integrating Brilliant Made 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 Brilliant Made to Vercel AI SDK

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