How to Use the Brex MCP in CrewAI

Q: How do I expose Brex MCP tools to a specific CrewAI agent?

Pass your Vinkius MCP server URL directly into the agent's mcps array during initialization. If you want to limit access, use MCPServerHTTP with a toolfilter to only expose tools like brexlisttransactions.

Deploy specialized CrewAI agent teams to autonomously audit Brex budgets, issue virtual cards, and manage corporate spend.

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Connect Brex MCP to CrewAI

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

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Setup Brex with CrewAI

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Multi-agent spend audits using this MCP Server

`brex_list_transactions` feeds your auditing crew with real-time financial data. One specialized agent pulls the transaction history, while a second analyst agent flags anomalies against active budgets. This collaborative approach ensures your corporate cards are monitored constantly. The agents exchange data through shared memory, reducing API overhead and catching double-charges instantly.

Autonomous HR and finance coordination

`brex_create_user` acts as the final step in a multi-agent onboarding pipeline. A recruiting agent verifies the hire's details, then passes them to a finance agent to spin up their profile. The finance agent then uses `brex_create_card` to issue a dedicated SaaS subscription card. This entire sequence runs without a single manual click from your HR team.

Hierarchical vendor payments and verification

`brex_pay_vendor` is controlled by a senior finance agent, but only after a junior researcher verifies the invoice details. The junior agent uses `brex_list_vendors` to verify the supplier exists before initiating payment. A moderator agent reviews the proposed transaction against `brex_get_balance` before greenlighting the transfer. This hierarchical execution prevents accidental over-drafting or unapproved payments.

Setup guide

Set up Brex MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Brex tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Brex Analyst",
    goal="Access and analyze Brex data via MCP.",
    backstory="Expert analyst with direct Brex access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Brex transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Brex Analyst",
        goal="Access and analyze Brex data via MCP.",
        backstory="Expert analyst with direct Brex access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Brex transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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.

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Common questions about Brex MCP in CrewAI

Pass your Vinkius MCP server URL directly into the agent's `mcps` array during initialization. If you want to limit access, use `MCPServerHTTP` with a `tool_filter` to only expose tools like `brex_list_transactions`.

Yes, you can set up a sequential crew where Agent A checks budgets using `brex_list_budgets` and Agent B invokes `brex_create_card` only if the budget has sufficient headroom.

Yes. Vinkius manages the authentication layer, providing a single secure endpoint token. Your CrewAI setup only needs this token to safely communicate with the Brex API.

You can use stdio, SSE, or Streamable HTTP. For multi-agent deployments running in cloud environments, Streamable HTTP is the most reliable option for handling concurrent MCP tool requests.

The crew only accesses the specific MCP tools you expose via the `tool_filter`. Your cash balances fetched by `brex_get_balance` are never stored permanently, and the Vinkius gateway ensures all communication is fully encrypted.

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