Banco Inter MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
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.
Data-first architecture: LlamaIndex agents combine Banco Inter tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Banco Inter tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Banco Inter, a vector store, and a SQL database in a single turn and synthesize results
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.
Hybrid search: combine Banco Inter real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Banco Inter to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Banco Inter for fresh data
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:
inter_create_boleto
Gerar um Boleto de Cobrança Bancário (Banco Inter)
inter_create_pix_billing
Obrigatório incluir cpfCnpj e valor. Emitir cobrança imediata via Pix (Banco Inter)
inter_get_balance
Consultar o Saldo final do dia na Conta Digital (Banco Inter Empresas)
inter_get_boleto
Consultar dados detalhados e status de um Boleto específico (Banco Inter)
inter_get_statement
Consultar o Resumo (Statement / Extrato) completo de movimentações da conta (Banco Inter Empresas)
inter_list_boletos
Listar pesquisa filtrada de Boletos em lote (Banco Inter)
inter_list_pix_billings
Consultar cobranças Pix (Cob) recebidas ou geradas num intervalo (Banco Inter)
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.
"Generate an Inter corporate Boleto for John Doe (CPF 12345678909). The value is 50.00 expiring on 2026-10-10."
"Send a dynamic Pix (Cash outbound) of R$ 5.00 to CPF key 03928139."
"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.
BasicMCPClient not found
pip install llama-index-tools-mcpBanco Inter + LlamaIndex FAQ
Common questions about integrating Banco Inter MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Banco Inter with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
