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Vinkius

Stark Bank 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 Stark Bank through the 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({
        "stark-bank": {
            "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 Stark Bank, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Stark Bank through native MCP adapters. Connect 9 tools via the 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

  • 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 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 Stark Bank to LangChain via MCP

Follow these steps to integrate the Stark Bank 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 Stark Bank via MCP

Why Use LangChain with the Stark Bank MCP Server

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

01

The largest ecosystem of integrations, chains, and agents — combine Stark Bank 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 Stark Bank queries for multi-turn workflows

Stark Bank + LangChain Use Cases

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

01

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

02

Autonomous research agents: LangChain agents query Stark Bank, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Stark Bank tools with web scrapers, databases, and calculators in a single agent run

04

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

Stark Bank MCP Tools for LangChain (9)

These 9 tools become available when you connect Stark Bank to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Stark Bank + LangChain FAQ

Common questions about integrating Stark Bank 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 Stark Bank to LangChain

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