2,500+ MCP servers ready to use
Vinkius

Brex MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Brex through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Brex Assistant",
            instructions=(
                "You help users interact with Brex. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Brex"
        )
        print(result.final_output)

asyncio.run(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.

The OpenAI Agents SDK auto-discovers all 10 tools from Brex through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Brex, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Brex MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 10 tools from Brex

Why Use OpenAI Agents SDK with the Brex MCP Server

OpenAI Agents SDK provides unique advantages when paired with Brex through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Brex + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Brex MCP Server delivers measurable value.

01

Automated workflows: build agents that query Brex, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents — one queries Brex, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Brex tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Brex to resolve tickets, look up records, and update statuses without human intervention

Brex MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Brex to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Brex + OpenAI Agents SDK FAQ

Common questions about integrating Brex MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with the Vinkius.

Connect Brex to OpenAI Agents SDK

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