# How to integrate Brex MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Brex MCP with OpenAI Agents SDK",
  "toolkit": "Brex",
  "toolkit_slug": "brex",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/brex/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/brex/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-06T08:03:57.847Z"
}
```

## Introduction

This guide walks you through connecting Brex to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Brex agent that can create a new card for our intern, get the latest account statement pdf, add an expense for last week's conference through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Brex account through Composio's Brex MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Brex with

- [Claude Agent SDK](https://composio.dev/toolkits/brex/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/brex/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/brex/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/brex/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/brex/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/brex/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/brex/framework/cli)
- [Google ADK](https://composio.dev/toolkits/brex/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/brex/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/brex/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/brex/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/brex/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/brex/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Brex
- Configure an AI agent that can use Brex as a tool
- Run a live chat session where you can ask the agent to perform Brex operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## What is the Brex MCP server, and what's possible with it?

The Brex MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Brex account. It provides structured and secure access to your company's financial tools, so your agent can perform actions like managing cards, tracking expenses, creating budgets, and retrieving account details on your behalf.
- Card creation and management: Instantly issue new cards, assign them to users or vendors, and control spending limits via your agent.
- Automated expense tracking: Let your agent create and log expenses, helping you keep company finances organized and up to date.
- Budget and department setup: Quickly create budgets for teams or projects and set up new departments without manual effort.
- Account and statement retrieval: Fetch detailed account information and download statements whenever you need financial insights or records.
- User and location management: Add new users or locations to your Brex account, making it easy to scale as your business grows.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BREX_CREATE_BUDGET` | Create Budget | Create a new budget for departments or projects. |
| `BREX_CREATE_CARD` | Create Card | Create a new card and assign it to a user. |
| `BREX_CREATE_DEPARTMENT` | Create Department | Create a new department. |
| `BREX_CREATE_EXPENSE` | Create Expense | Create a new expense. |
| `BREX_CREATE_LOCATION` | Create Location | Create a new location. |
| `BREX_CREATE_TITLE` | Create Job Title | Create a new job title. |
| `BREX_CREATE_USER` | Create User | Create a new user in the brex account. |
| `BREX_CREATE_VENDOR_CARD` | Create Vendor Card | Create a new vendor card. |
| `BREX_GET_ACCOUNT_DETAILS` | Get Account Details | Get details about the current brex account. |
| `BREX_GET_ACCOUNT_STATEMENTS` | Get Account Statements | Get account statements. |
| `BREX_GET_BUDGET_DETAILS` | Get Budget Details | Get detailed information about a specific budget. |
| `BREX_GET_BUDGET_TRANSACTIONS` | Get Budget Transactions | Get transactions for a specific budget. |
| `BREX_GET_CARD_DETAILS` | Get Card Details | Get detailed information about a specific card. |
| `BREX_GET_CARD_TRANSACTIONS` | Get Card Transactions | Get card transactions for a date range. |
| `BREX_GET_COMPANY_CASH_ACCOUNTS` | Get Company Cash Accounts | Get company cash accounts. |
| `BREX_GET_EXPENSE_DETAILS` | Get Expense Details | Get details of a specific expense. |
| `BREX_GET_EXPENSES` | Get Expenses | Get expenses for a date range. |
| `BREX_GET_SPEND_LIMITS` | Get Spend Limits | Get spend limits configuration. |
| `BREX_GET_TRANSACTION_BY_ID` | Get Transaction by ID | Get details of a specific transaction by id. |
| `BREX_GET_TRANSACTIONS` | Get Transactions | Get transactions for a date range. |
| `BREX_GET_TRANSACTIONS_BY_AMOUNT_RANGE` | Get Transactions by Amount Range | Get transactions filtered by amount range. |
| `BREX_GET_TRANSACTIONS_BY_DESCRIPTION` | Get Transactions by Description | Get transactions filtered by description text. |
| `BREX_GET_USER_PROFILE` | Get User Profile | Get user profile information for current or specified user. |
| `BREX_LIST_BUDGETS` | List Budgets | List all budgets and show available amounts across all cards. |
| `BREX_LIST_CARDS` | List Cards | List all cards associated with the account. |
| `BREX_LIST_DEPARTMENTS` | List Departments | List all departments in the organization. |
| `BREX_LIST_LOCATIONS` | List Locations | List all locations in the organization. |
| `BREX_LIST_TITLES` | List Job Titles | List all job titles in the organization. |
| `BREX_LIST_USERS` | List Users | List all users in the brex account. |
| `BREX_LIST_VENDORS` | List Vendors | List all vendors. |
| `BREX_TRANSFER_CARD` | Transfer Card | Transfer a card to a different user. |
| `BREX_UPDATE_BUDGET` | Update Budget | Update budget details. |
| `BREX_UPDATE_CARD_LIMITS` | Update Card Limits | Update spending limits and controls for a card. |
| `BREX_UPDATE_CARD_STATUS` | Update Card Status | Update the status of a card (activate/deactivate/terminate). |
| `BREX_UPDATE_USER` | Update User | Update user details. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Brex MCP server is an implementation of the Model Context Protocol that connects your AI agent to Brex. It provides structured and secure access so your agent can perform Brex operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Brex project
- Some knowledge of Python or Typescript

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Brex.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only brex.
- The router checks the user's Brex connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Brex.
- This approach keeps things lightweight and lets the agent request Brex tools only when needed during the conversation.
```python
# Create a Brex Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["brex"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Brex
const session = await composio.create(userId as string, {
  toolkits: ['brex'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Brex. "
        "Help users perform Brex operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Brex. Help users perform Brex operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["brex"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Brex. "
        "Help users perform Brex operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['brex'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Brex. Help users perform Brex operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Brex MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Brex.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Brex MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/brex/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/brex/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/brex/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/brex/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/brex/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/brex/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/brex/framework/cli)
- [Google ADK](https://composio.dev/toolkits/brex/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/brex/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/brex/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/brex/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/brex/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/brex/framework/crew-ai)

## Related Toolkits

- [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide.
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- [Altoviz](https://composio.dev/toolkits/altoviz) - Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management.
- [Benzinga](https://composio.dev/toolkits/benzinga) - Benzinga provides real-time financial news and data APIs for market coverage. It helps you track breaking news and actionable market insights instantly.
- [Chaser](https://composio.dev/toolkits/chaser) - Chaser is accounts receivable automation software that sends invoice reminders and helps businesses get paid faster. It streamlines the collections process to save time and improve cash flow.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Coinbase](https://composio.dev/toolkits/coinbase) - Coinbase is a platform for buying, selling, and storing cryptocurrency. It makes exchanging and managing crypto simple and secure for everyone.
- [Coinranking](https://composio.dev/toolkits/coinranking) - Coinranking is a comprehensive cryptocurrency market data platform offering access to real-time coin prices, market caps, and historical data. Get accurate, up-to-date stats for thousands of digital assets in one place.
- [Coupa](https://composio.dev/toolkits/coupa) - Coupa is a business spend management platform for procurement, invoicing, and expenses. It helps organizations streamline purchasing, control costs, and gain complete visibility over financial operations.
- [CurrencyScoop](https://composio.dev/toolkits/currencyscoop) - CurrencyScoop is a developer-friendly API for real-time and historical currency exchange rates. Easily access fiat and crypto data for smart, up-to-date financial applications.
- [Daffy](https://composio.dev/toolkits/daffy) - Daffy is a modern charitable giving platform with a donor-advised fund. Easily set aside funds, grow them tax-free, and donate to over 1.7 million U.S. charities.
- [Eagle doc](https://composio.dev/toolkits/eagle_doc) - Eagle doc is an AI-powered OCR API for invoices and receipts. It delivers fast, reliable, and accurate document data extraction for seamless automation.
- [Elorus](https://composio.dev/toolkits/elorus) - Elorus is an online invoicing and time-tracking software for freelancers and small businesses. Easily manage finances, bill clients, and track work in one place.
- [Eodhd apis](https://composio.dev/toolkits/eodhd_apis) - Eodhd apis delivers comprehensive financial data, including live and historical stock prices, via robust APIs. Easily access reliable, up-to-date market insights to power your apps, dashboards, and analytics.
- [Fidel api](https://composio.dev/toolkits/fidel_api) - Fidel api is a secure platform for linking payment cards to web and mobile apps. It enables real-time card transaction monitoring and event-based automation for businesses.
- [Finage](https://composio.dev/toolkits/finage) - Finage is a secure API platform delivering real-time and historical financial data for stocks, forex, crypto, indices, and commodities. It empowers developers and businesses to access, analyze, and act on market data instantly.
- [Finmei](https://composio.dev/toolkits/finmei) - Finmei is an invoicing tool that simplifies billing, invoice management, and expense tracking. Ideal for automating and organizing your business finances in one place.
- [Fixer](https://composio.dev/toolkits/fixer) - Fixer is a currency data API offering real-time and historical exchange rates for 170 currencies. Instantly access accurate, up-to-date forex data for your applications and workflows.
- [Fixer io](https://composio.dev/toolkits/fixer_io) - Fixer.io is a lightweight API for real-time and historical foreign exchange rates. It makes global currency conversion fast, accurate, and hassle-free.
- [Flutterwave](https://composio.dev/toolkits/flutterwave) - Flutterwave is a global payments platform enabling businesses to accept and send payments across Africa and beyond. Its robust APIs simplify cross-border transactions and financial operations.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Brex MCP?

With a standalone Brex MCP server, the agents and LLMs can only access a fixed set of Brex tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Brex and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Brex tools.

### Can I manage the permissions and scopes for Brex while using Tool Router?

Yes, absolutely. You can configure which Brex scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Brex data and credentials are handled as safely as possible.

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