How do I get an Access Token for Banco do Brasil?

You must create a Developer account on [**BB Developers Portal**](https://developers.bb.com.br), create an App, and use your Certificate (mTLS) and Client ID/Secret to generate the Access Token via OAuth2.

Can I pay bills and Pix?

Yes! Use the `pay_barcode` or `create_pix` actions. You will need a valid token with payment permissions.

Does it work for companies (CNPJ)?

Yes, the BB APIs support both Individual (CPF) and Business (CNPJ) accounts, provided your token has the correct scope.

Are the API connections secure?

Absolutely. Banco do Brasil requires mTLS certificates and secure environments for their API connections to ensure financial-grade safety.

Banco do Brasil MCP Server for CrewAI 9 tools — connect in under 2 minutes

Name: Banco do Brasil
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 9 Tools Framework

Connect your CrewAI agents to Banco do Brasil through Vinkius, pass the Edge URL in the `mcps` parameter and every Banco do Brasil tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Banco do Brasil Specialist",
    goal="Help users interact with Banco do Brasil effectively",
    backstory=(
        "You are an expert at leveraging Banco do Brasil tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Banco do Brasil "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 9 available tools "
        "and what they can do."
    ),
)

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

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* 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 Banco do Brasil MCP Server

Connect your Banco do Brasil account to any AI agent and perform essential banking tasks — check balances, view transaction history, send Pix payments, and pay bills through natural conversation.

When paired with CrewAI, Banco do Brasil becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Banco do Brasil tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Account Details — View agency, account number, and available limits
Balances — Check available funds and credit limits instantly
Statement — Retrieve transaction history by date range
Pix Payments — Send instant transfers using any Pix key (CPF, Email, Phone)
Boleto Payments — Pay utility bills and barcodes
Pix History — View all sent and received Pix transfers
Credit Card — View credit card invoices and totals

The Banco do Brasil MCP Server exposes 9 tools through the Vinkius. Connect it to CrewAI 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 Banco do Brasil to CrewAI via MCP

Follow these steps to integrate the Banco do Brasil MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 9 tools from Banco do Brasil

Why Use CrewAI with the Banco do Brasil MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Banco do Brasil through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Banco do Brasil + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Banco do Brasil MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Banco do Brasil for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Banco do Brasil, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Banco do Brasil tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Banco do Brasil against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Banco do Brasil MCP Tools for CrewAI (9)

These 9 tools become available when you connect Banco do Brasil to CrewAI via MCP:

create_pix

Send a Pix payment to a key

get_accounts

Usually returns one active account. Get list of checking accounts

get_balance

Get current account balance and limits

get_credit_card_invoices

Get credit card invoices

get_pix_history

Type can be RECEIVED or SENT. Get history of Pix transfers (Sent/Received)

get_scheduled_payments

Get scheduled future payments

get_statement

Dates in YYYY-MM-DD format. Get account statement (transactions) by date range

pay_barcode

Pay a barcode/boleto bill

pay_utility_bill

Pay a utility bill via barcode

Example Prompts for Banco do Brasil in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Banco do Brasil immediately.

"Show me my current balance."

"Send a Pix of R$50 to joao@email.com."

"Show me the transactions from last week."

Troubleshooting Banco do Brasil MCP Server with CrewAI

Common issues when connecting Banco do Brasil to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Banco do Brasil + CrewAI FAQ

Common questions about integrating Banco do Brasil MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.