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How to Use the BrasilAPI MCP in CrewAI

Run multi-agent teams in CrewAI to audit Brazilian corporate records, bank codes, and vehicle values autonomously.

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Connect BrasilAPI MCP to CrewAI

Create your Vinkius account to connect BrasilAPI 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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Multi-agent CNPJ auditing via CrewAI

Deploying `get_cnpj_details` acts as the primary data source for your specialized CrewAI financial auditing crew. A CrewAI researcher agent pulls Brazilian corporate records, while an analyst agent evaluates the CNPJ capital structure and tax status. These CrewAI agents share memory to compare historical data against the fresh CNPJ payload. Without requiring you to write custom evaluation logic, your CrewAI agents collaborate autonomously to flag suspicious Brazilian corporate entities.

Autonomous logistics planning with this MCP Server

Integrating `get_cep_details` provides the geographic backbone for your shipping agents running on CrewAI. A CrewAI logistics coordinator agent retrieves the address details, while a routing agent verifies regional constraints using `list_brazilian_states`. The CrewAI crew works sequentially to build a complete shipping manifest using the Brazilian postal data. By delegating tasks between specialized CrewAI agents, you avoid API timeouts and ensure every Brazilian postal code is verified before dispatch.

Asset valuation and bank routing in CrewAI

Your asset valuation agent in CrewAI receives live pricing data from the `get_fipe_vehicle_price` tool, while `list_brazilian_banks` helps your finance agent verify payout coordinates. These CrewAI agents collaborate to approve Brazilian vehicle trade-in values and bank routing details. You can set up a CrewAI moderator agent to supervise the entire Brazilian asset valuation process. Should the FIPE valuation look anomalous, the CrewAI moderator pauses the sequence and alerts your underwriting team.

Setup guide

Set up BrasilAPI MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

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

  2. 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. 3

    Kick off your crew

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

crew.py
from crewai import Agent, Task, Crew

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

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

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

Why Choose Vinkius

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Real-time monitoring

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

Built-in savings

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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 BrasilAPI MCP in CrewAI

Pass the Vinkius server URL in the `mcps` list of your CrewAI agent configuration. You can use a `tool_filter` to give your logistics agent only `get_cep_details` while giving your financial agent access to `get_cnpj_details`.
Yes, CrewAI agents use shared memory to pass the results of `get_fipe_vehicle_price` between each other. The valuation agent fetches the vehicle price, and the risk analysis agent uses that exact number for credit scoring.
CrewAI connects to this MCP Server using the Streamable HTTP transport hosted by Vinkius. This ensures your python-based agents can query Brazilian states, banks, and postal codes instantly without local setup.
You set maximum iterations on your CrewAI agents to prevent them from repeatedly calling `get_cnpj_details` on bad inputs. If the tool returns an error, the agent logs the issue and escalates it to the next crew member.
Your queries to `get_cep_details` and `get_cnpj_details` run through Vinkius's zero-trust MCP sandbox. This isolates the Brazilian registry lookups, ensuring your local CrewAI environment never exposes raw client data to third parties.

Start using the BrasilAPI MCP today

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