How to Use the Banco do Brasil MCP in LlamaIndex

Q: Can LlamaIndex query Banco do Brasil credit card invoices?

Yes, getcreditcardinvoices pulls invoice details that LlamaIndex can index into your vector store. You can then run semantic queries across multiple billing cycles.

Q: How do I retrieve Banco do Brasil transaction records using LlamaIndex?

Use getstatement to extract transaction records for a given date range. LlamaIndex ingests this raw data, allowing you to ask natural language questions about your spending.

Q: Can this server execute payments?

Yes, the server exposes createpix and paybarcode. You can register these as tools within your LlamaIndex FunctionAgent to trigger active financial operations.

Index your Banco do Brasil transactions directly into LlamaIndex vector stores.

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Connect Banco do Brasil MCP to LlamaIndex

Create your Vinkius account to connect Banco do Brasil to LlamaIndex 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 Banco do Brasil with LlamaIndex

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Turn Banco do Brasil statements into searchable knowledge

`get_statement` extracts transactions within YYYY-MM-DD date ranges so your LlamaIndex pipeline can index them via the MCP standard. This turns raw banking data into queryable documents for semantic search. Instead of searching through PDFs, you ask your agent about specific vendors. The engine queries the vector store to locate past transactions instantly.

Query current balances with this Banco do Brasil MCP Server

`get_balance` pulls your live account balance and limits directly into the LlamaIndex RAG context. The system uses this live data to ground its answers, ensuring it never hallucinates your financial status. You can pair this with `get_credit_card_invoices` to build a complete view of your liabilities. The agent evaluates current invoice amounts against your active balance to answer budget questions.

Retrieve and index your Pix transaction history

`get_pix_history` fetches all incoming and outgoing Pix transfers to feed your LlamaIndex documents. It categorizes transfers as SENT or RECEIVED to keep your index organized. If you need to verify a payment, the agent searches the indexed history instead of hitting the live API repeatedly. This saves tokens and speeds up response times.

Setup guide

Set up Banco do Brasil MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Banco do Brasil MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Banco do Brasil tools.",
)
response = await agent.run("List recent Banco do Brasil data")

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 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.

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Common questions about Banco do Brasil MCP in LlamaIndex

Install the integration library and initialize the client with your Vinkius URL to access this MCP Server. The McpToolSpec automatically maps the tools into indexable data loaders.

Yes, get_credit_card_invoices pulls invoice details that LlamaIndex can index into your vector store. You can then run semantic queries across multiple billing cycles.

Use get_statement to extract transaction records for a given date range. LlamaIndex ingests this raw data, allowing you to ask natural language questions about your spending.

Yes, the server exposes create_pix and pay_barcode. You can register these as tools within your LlamaIndex FunctionAgent to trigger active financial operations.

Vinkius operates a zero-trust architecture that executes all tool calls in isolated, ephemeral sandboxes. Your sensitive invoice data and transaction histories are never persisted or used for training models.

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