Brex MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Brex through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"brex": {
"transport": "streamable_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,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Brex, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Brex through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Brex MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Brex via MCP
Why Use LangChain with the Brex MCP Server
LangChain provides unique advantages when paired with Brex through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Brex MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Brex queries for multi-turn workflows
Brex + LangChain Use Cases
Practical scenarios where LangChain combined with the Brex MCP Server delivers measurable value.
RAG with live data: combine Brex tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Brex, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Brex tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Brex tool call, measure latency, and optimize your agent's performance
Brex MCP Tools for LangChain (10)
These 10 tools become available when you connect Brex to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Brex to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersBrex + LangChain FAQ
Common questions about integrating Brex MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
