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

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Banco do Brasil through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "banco-do-brasil": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Banco do Brasil, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Banco do Brasil
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Banco do Brasil through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 9 tools from Banco do Brasil via MCP

Why Use LangChain with the Banco do Brasil MCP Server

LangChain provides unique advantages when paired with Banco do Brasil through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Banco do Brasil MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Banco do Brasil queries for multi-turn workflows

Banco do Brasil + LangChain Use Cases

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

01

RAG with live data: combine Banco do Brasil tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Banco do Brasil, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Banco do Brasil tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Banco do Brasil tool call, measure latency, and optimize your agent's performance

Banco do Brasil MCP Tools for LangChain (9)

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

01

create_pix

Send a Pix payment to a key

02

get_accounts

Usually returns one active account. Get list of checking accounts

03

get_balance

Get current account balance and limits

04

get_credit_card_invoices

Get credit card invoices

05

get_pix_history

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

06

get_scheduled_payments

Get scheduled future payments

07

get_statement

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

08

pay_barcode

Pay a barcode/boleto bill

09

pay_utility_bill

Pay a utility bill via barcode

Example Prompts for Banco do Brasil in LangChain

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

01

"Show me my current balance."

02

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

03

"Show me the transactions from last week."

Troubleshooting Banco do Brasil MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Banco do Brasil + LangChain FAQ

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

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Banco do Brasil to LangChain

Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.