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Vinkius

Brex MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Brex through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "brex": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Brex Agent",
    instructions:
      "You help users interact with Brex " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Brex?"
  );
  console.log(result.text);
}

main();
Brex
Fully ManagedVinkius Servers
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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Brex tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Brex MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Brex via MCP

Why Use Mastra AI with the Brex MCP Server

Mastra AI provides unique advantages when paired with Brex through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Brex without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Brex tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Brex + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query Brex, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Brex as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Brex on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Brex tools alongside other MCP servers

Brex MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Brex to Mastra AI 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 Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Brex + Mastra AI FAQ

Common questions about integrating Brex MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Brex to Mastra AI

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