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Banco Inter MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Banco Inter as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Banco Inter. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Banco Inter?"
    )
    print(response)

asyncio.run(main())
Banco Inter
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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 Inter MCP Server

The Banco Inter MCP Server transforms your AI agent into a secure, fully automated financial assistant directly tethered to your Banco Inter Corporate account. Perform high-velocity API commands without ever logging into the Internet Banking portal.

LlamaIndex agents combine Banco Inter tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

  • Pix Engine — Interrogate the status of issued billing, generate complex dynamic Pix charges (Pix Cob), and seamlessly orchestrate automated money transfers directly natively through your chatbot.
  • Boleto (Bank Slips) — Generate fully structured Brazilian bank slips parsing customer identifiers (CPF/CNPJ). You can also extract individual slip histories.
  • Routine Banking — Access daily statements (Extratos), balance verifications, and general cash flow history queries natively embedded into conversations.

The Banco Inter MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex 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 Inter to LlamaIndex via MCP

Follow these steps to integrate the Banco Inter MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 8 tools from Banco Inter

Why Use LlamaIndex with the Banco Inter MCP Server

LlamaIndex provides unique advantages when paired with Banco Inter through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Banco Inter tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Banco Inter tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Banco Inter, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Banco Inter tools were called, what data was returned, and how it influenced the final answer

Banco Inter + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Banco Inter MCP Server delivers measurable value.

01

Hybrid search: combine Banco Inter real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Banco Inter to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Banco Inter for fresh data

04

Analytical workflows: chain Banco Inter queries with LlamaIndex's data connectors to build multi-source analytical reports

Banco Inter MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect Banco Inter to LlamaIndex via MCP:

01

inter_create_boleto

Gerar um Boleto de Cobrança Bancário (Banco Inter)

02

inter_create_pix_billing

Obrigatório incluir cpfCnpj e valor. Emitir cobrança imediata via Pix (Banco Inter)

03

inter_get_balance

Consultar o Saldo final do dia na Conta Digital (Banco Inter Empresas)

04

inter_get_boleto

Consultar dados detalhados e status de um Boleto específico (Banco Inter)

05

inter_get_statement

Consultar o Resumo (Statement / Extrato) completo de movimentações da conta (Banco Inter Empresas)

06

inter_list_boletos

Listar pesquisa filtrada de Boletos em lote (Banco Inter)

07

inter_list_pix_billings

Consultar cobranças Pix (Cob) recebidas ou geradas num intervalo (Banco Inter)

08

inter_send_pix

O token deve constar o scope necessário. Pagamentos - Enviar um Pix utilizando sua Conta Banco Inter

Example Prompts for Banco Inter in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Banco Inter immediately.

01

"Generate an Inter corporate Boleto for John Doe (CPF 12345678909). The value is 50.00 expiring on 2026-10-10."

02

"Send a dynamic Pix (Cash outbound) of R$ 5.00 to CPF key 03928139."

03

"Load my historical Banco Inter statement (Extrato) from 01/20/2024 to 01/25/2024 and identify if there was any Pix received."

Troubleshooting Banco Inter MCP Server with LlamaIndex

Common issues when connecting Banco Inter to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Banco Inter + LlamaIndex FAQ

Common questions about integrating Banco Inter MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Banco Inter tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect Banco Inter to LlamaIndex

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.