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Stark Bank MCP Server for LlamaIndex 9 tools — connect in under 2 minutes

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Stark Bank as an MCP tool provider through the 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 Stark Bank. "
            "You have 9 tools available."
        ),
    )

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

asyncio.run(main())
Stark Bank
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 Stark Bank MCP Server

The Stark Bank MCP Server brings highest-end Brazilian financial tech directly into your Agent's context. Engineered specifically for complex corporate maneuvers and heavy automations requiring zero filesystem intervention—authentication is fully handled via ECDSA public/private cryptography inside the MCP.

LlamaIndex agents combine Stark Bank tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through the 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

  • Mass Corporate Payables (Transfers) — You can ask your chatbot to send Pix out to specific people, or execute TED transfers programmatically parsing bank codes and taxes.
  • Asset Generation — Rapidly generate virtual Corporate Cards or Boletos targeting specific customer strings.
  • Unmatched Oversight — Check precisely the atomic balance of your Stark accounts or extract statements and invoice status tracking in milliseconds.

The Stark Bank MCP Server exposes 9 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 Stark Bank to LlamaIndex via MCP

Follow these steps to integrate the Stark Bank 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 9 tools from Stark Bank

Why Use LlamaIndex with the Stark Bank MCP Server

LlamaIndex provides unique advantages when paired with Stark Bank through the Model Context Protocol.

01

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

02

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

03

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

04

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

Stark Bank + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Stark Bank MCP Server delivers measurable value.

01

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

02

Data enrichment: query Stark Bank 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 Stark Bank for fresh data

04

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

Stark Bank MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Stark Bank to LlamaIndex via MCP:

01

stark_create_boleto

Efetuar a emissão de Lote de Boletos Bancários Oficiais (Stark Bank)

02

stark_create_corporate_card

Tecnologia Enterprise: Criar novo Cartão de Crédito Corporativo on-the-fly

03

stark_create_pix_charge

Criar uma Cobrança Pix dinâmica imediata (Stark Bank)

04

stark_create_transfer

INICIAR PAGAMENTOS: Emissão de TED ou Pix para fornecedores/funcionários

05

stark_get_balance

Consultar resgate atual monetário / total em caixa no banco (Balance)

06

stark_get_statement

Gerar statement cru detalhado de fluxo de caixa

07

stark_list_boletos

Listar progressão contábil e status dos Boletos

08

stark_list_pix_charges

Listar histórico das Cobranças Pix originadas

09

stark_list_transfers

Descobrir rastreio de pagamentos de saída finalizados (Transfers)

Example Prompts for Stark Bank in LlamaIndex

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

01

"Generate a dynamic Corporate Card on Stark Bank named 'Google Cloud Pay' for my team."

02

"Extract the detailed historical stark statements spanning from March 1st to March 15th to examine payroll expenditures."

03

"Create a Boleto for 500 BRL to CPF 000101111909. It must expire 10 days from today."

Troubleshooting Stark Bank MCP Server with LlamaIndex

Common issues when connecting Stark Bank to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Stark Bank + LlamaIndex FAQ

Common questions about integrating Stark Bank 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 Stark Bank 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 Stark Bank to LlamaIndex

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