How to Use the Brex MCP in LangChain

Q: Can LangChain agents trigger Brex payments safely?

Yes, but you should wrap the brexpayvendor tool in a human-in-the-loop confirmation step. This ensures your agent presents the proposed payment details for your approval before finalizing the transfer.

Build chains that move money. Connect your Brex account to LangChain agents for automated spend and vendor management.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Brex MCP to LangChain

Create your Vinkius account to connect Brex to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Brex with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate card issuance in LangChain

Trigger `brex_create_card` directly from your agent logic to provision virtual cards for SaaS expenses. Your code handles the issuance flow based on real-time budget checks. This MCP Server lets your chain verify available funds before hitting the API. You maintain strict control over spend limits without manual intervention.

Sync vendor payments via LangChain agents

Chain `brex_list_vendors` with `brex_pay_vendor` to execute accounts payable tasks automatically. Your agent identifies the correct vendor ID and initiates the transfer within a single workflow. Observability is built-in. Every transaction step is logged through your existing tracing stack to confirm exactly when money left the account.

Manage team access with LangChain

Onboard new hires by calling `brex_create_user` from your administrative pipeline. The agent validates input parameters and pushes the user record to your company account immediately. This keeps your directory current. You avoid the lag of manual entry and ensure team members have access to their assigned budgets the moment they start.

Setup guide

Set up Brex MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Brex tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "brex-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Brex transactions"
    })
    print(result["messages"][-1].content)

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.

Connect Brex now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

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

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Brex MCP in LangChain

Install the necessary adapters and point your configuration to the Vinkius endpoint. You define the server connection once, and your LangChain agent gains access to all ten Brex tools.

Yes, but you should wrap the `brex_pay_vendor` tool in a human-in-the-loop confirmation step. This ensures your agent presents the proposed payment details for your approval before finalizing the transfer.

It only exposes the specific transactional data you request via tool calls. Your financial records, including balance history and vendor lists, remain isolated within your private infrastructure.

Vinkius manages the handshake so your agent doesn't need to store raw credentials. You provide a single token, and the server handles the session securely.

The MCP protocol provides clear error reporting if a tool call fails. You can inspect the specific error code returned by the API to see if it was a network issue or a validation error.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript