Brex MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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 Onboarding —
brex_create_userdirectly provisions employees with their associated hierarchical structure. Follow it up withbrex_create_cardto 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_transactionsto pull highly contextualized raw CSV data into your AI workspace. - Accounts Payable Controls — Draft and approve external entity vendors via
brex_create_vendorand initiate routing paymentsbrex_pay_vendorseamlessly, 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.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
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.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query Brex, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Brex, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Brex tools and transform it with OpenAI models in a single async loop
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:
brex_create_card
Useful for giving employees isolated cards for SaaS subscriptions. Issue a dynamic Virtual Corporate Card
brex_create_user
You must provide a valid email, first name, and last name. Invite a new employee / user to Brex
brex_create_vendor
Create a Vendor in AP (Accounts Payable)
brex_get_balance
Get main cash balance of the Brex Cash accounts
brex_list_budgets
List budget programs assigned to teams
brex_list_cards
List all issued cards across the company
brex_list_transactions
Sweep historical Brex card and account transactions
brex_list_users
List all users in the Brex company account
brex_list_vendors
List saved Vendors inside Brex AP
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.
"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."
"Check the core cash settlement. How much Treasury base balance do we stand at? Extract only active Checking values."
"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.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Brex + OpenAI Agents SDK FAQ
Common questions about integrating Brex MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Brex with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
