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Vinkius

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

main();
Brex
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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 Brex MCP Server

The Brex MCP Server bridges standard large language models directly via the platform.brexapis.com to your startup's core spend engine. By delivering a single static User Token, you enable the most flexible financial assistant available.

The Vercel AI SDK gives every Brex tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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

  • Agile Employee Onboardingbrex_create_user directly provisions employees with their associated hierarchical structure. Follow it up with brex_create_card to hand them digital spend capacity securely limited.
  • Accounting Snapshots — You don't need to load the Brex dash to trace down runaway expenses. Trigger brex_list_transactions to pull highly contextualized raw CSV data into your AI workspace.
  • Accounts Payable Controls — Draft and approve external entity vendors via brex_create_vendor and initiate routing payments brex_pay_vendor seamlessly, letting internal routing protocols map out the wires.

The Brex 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 Brex to Vercel AI SDK via MCP

Follow these steps to integrate the Brex 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 Brex and passes them to the LLM

Why Use Vercel AI SDK with the Brex MCP Server

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

03

Built-in streaming UI primitives let you display Brex 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

Brex + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Brex MCP Tools for Vercel AI SDK (10)

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

01

brex_create_card

Useful for giving employees isolated cards for SaaS subscriptions. Issue a dynamic Virtual Corporate Card

02

brex_create_user

You must provide a valid email, first name, and last name. Invite a new employee / user to Brex

03

brex_create_vendor

Create a Vendor in AP (Accounts Payable)

04

brex_get_balance

Get main cash balance of the Brex Cash accounts

05

brex_list_budgets

List budget programs assigned to teams

06

brex_list_cards

List all issued cards across the company

07

brex_list_transactions

Sweep historical Brex card and account transactions

08

brex_list_users

List all users in the Brex company account

09

brex_list_vendors

List saved Vendors inside Brex AP

10

brex_pay_vendor

Orchestrate a vendor payment (Send Money)

Example Prompts for Brex in Vercel AI SDK

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

01

"Invite the new engineer 'John Carter' via email john@company.com into Brex. After you get his ID, spin him up a Virtual Card with a $1K limit immediately."

02

"Check the core cash settlement. How much Treasury base balance do we stand at? Extract only active Checking values."

03

"Pull all corporate expenses tracked over the past 30 days focusing entirely on our AWS hosting and digital footprints."

Troubleshooting Brex MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Brex + Vercel AI SDK FAQ

Common questions about integrating Brex 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 Brex to Vercel AI SDK

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