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How to Use the Banco do Brasil MCP in LangChain

Run multi-step banking workflows with LangChain and your Banco do Brasil accounts.

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Works with every AI agent you already use

…and any MCP-compatible client

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LangChain

Connect Banco do Brasil MCP to LangChain

Create your Vinkius account to connect Banco do Brasil to LangChain 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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Run direct Pix payments through LangChain

`create_pix` lets your LangChain agent execute instant Pix transfers using a specific key over this MCP connection. The agent verifies the recipient details first, then runs the payment without manual intervention. If the transfer fails, the agent reads `get_pix_history` to inspect past transactions and debug the state. It handles the retry logic programmatically, chaining the output of one step directly into the next.

Monitor balances using this Banco do Brasil MCP Server

`get_balance` retrieves your current checking account balance and credit limits directly into your LangChain run. Your agent feeds this number into decision nodes before authorizing any outgoing payments. To keep a clean ledger, `get_statement` pulls transactions for specific date ranges. LangSmith traces these tool calls, giving you full visibility into exactly when and why your agent checked your banking data.

Pay utility bills and boletos automatically

`pay_barcode` and `pay_utility_bill` enable your agent to settle outstanding Brazilian slips. The agent parses the invoice barcode from an email or document, then executes the payment directly. You can combine this with `get_scheduled_payments` to check for duplicate scheduled transactions before paying. This prevents double-paying bills and keeps your cash flow predictable.

Setup guide

Set up Banco do Brasil MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Banco do Brasil tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "banco-do-brasil-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Banco do Brasil transactions"
    })
    print(result["messages"][-1].content)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Banco do Brasil. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

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 Banco do Brasil MCP in LangChain

Vinkius manages the authentication handshake securely behind a single endpoint. You just pass this URL to the LangChain MultiServerMCPClient and your agent gets immediate access to the banking tools.
Yes, you can chain get_pix_history with other LangChain tools to analyze your financial flows. Every API call is fully visible in LangSmith so you can track latencies and inputs.
You control the agent's boundaries by defining strict prompt templates and validation steps in your graph. The agent only triggers create_pix or pay_barcode when your specific chain conditions are met.
Use get_statement with start and end dates formatted as YYYY-MM-DD. The returned transaction list can be piped into your analytical chains or formatted into CSVs.
All communication runs through a zero-trust V8 sandbox environment on Vinkius. Your financial statements, balances, and Pix history are processed ephemerally and never stored on our servers.

Start using the Banco do Brasil MCP today

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Built & Managed by Vinkius 30s setup 9 tools

We've already built the connector for Banco do Brasil. Just plug in your AI agents and start using Vinkius.

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