How to Use the Brex MCP in Vercel AI SDK

Q: How do I set up the Brex MCP Server with Vercel AI SDK?

Install @ai-sdk/mcp and call createMCPClient with your Vinkius HTTP endpoint URL. Pass the tools directly into streamText to let your LLM interact with your corporate account. Remember to call mcpClient.close() once the execution finishes.

Q: Can Vercel AI SDK stream Brex transaction histories without UI lag?

Yes, the SDK streams data chunk by chunk. When brexlisttransactions runs, your frontend renders the transaction history progressively. This keeps the interface responsive even during heavy data sweeps.

Q: Does the Brex integration with Vercel AI SDK support multi-user management?

The brexcreateuser tool allows your agent to invite new employees directly through the chat interface. Your frontend updates live as the invitation is sent out, keeping managers in the loop instantly.

Let your users spin up corporate cards and track balances in real-time as Vercel AI SDK streams Brex tool calls straight to their screens.

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Connect Brex MCP to Vercel AI SDK

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

Ask AI about this MCP

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Claude

Perplexity

Live virtual card generation inside your Vercel AI SDK UI

`brex_create_card` fires off instantly when your user asks for a subscription budget, showing them the card details as they generate. You don't make users stare at loading spinners while waiting for API responses. Your Next.js app streams the action using `streamText` and the Vercel AI SDK MCP client. The agent handles the back-end handshake, and the interface updates the moment the card is active.

Instant cash balance checks on the edge

`brex_get_balance` fetches your main corporate account holdings the split-second a team member asks. Edge compatibility means zero cold starts when pulling live financial metrics. By feeding this tool to your generative UI, the interface renders live cash allocations. It is direct, fast, and bypasses heavy database polling.

Zero-friction vendor payments

`brex_pay_vendor` works alongside `brex_create_vendor` to let your MCP agent handle accounts payable right inside the chat window. Users can add a new supplier and route money in one continuous conversation. The UI reflects each step of the transaction as it happens. Because the SDK handles the data stream, your frontend components update dynamically without manual page refreshes.

Setup guide

Set up Brex 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 Brex 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 Brex 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 Brex. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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Common questions about Brex MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and call `createMCPClient` with your Vinkius HTTP endpoint URL. Pass the tools directly into `streamText` to let your LLM interact with your corporate account. Remember to call `mcpClient.close()` once the execution finishes.

Yes, the SDK streams data chunk by chunk. When `brex_list_transactions` runs, your frontend renders the transaction history progressively. This keeps the interface responsive even during heavy data sweeps.

The `brex_create_user` tool allows your agent to invite new employees directly through the chat interface. Your frontend updates live as the invitation is sent out, keeping managers in the loop instantly.

You can. The Vercel AI SDK is built for edge environments, and this server runs on Vinkius's low-latency infrastructure. This setup ensures your financial tool calls execute with minimal overhead.

Vinkius runs the server in an isolated V8 sandbox, meaning your corporate credentials never leak to the LLM or frontend. Only the specific outputs of tools like `brex_get_balance` are exposed to the client. Your raw API keys remain fully encrypted and out of reach.

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