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How to Use the Stark Bank MCP in LangChain

Build complex financial chains with LangChain for multi-step reasoning.

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Works with every AI agent you already use

…and any MCP-compatible client

Stark Bank MCP on Cursor AI Code Editor MCP Client Stark Bank MCP on Claude Desktop App MCP Integration Stark Bank MCP on OpenAI Agents SDK MCP Compatible Stark Bank MCP on Visual Studio Code MCP Extension Client Stark Bank MCP on GitHub Copilot AI Agent MCP Integration Stark Bank MCP on Google Gemini AI MCP Integration Stark Bank MCP on Lovable AI Development MCP Client Stark Bank MCP on Mistral AI Agents MCP Compatible Stark Bank MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on LangChain

Connect Stark Bank MCP to LangChain

Create your Vinkius account to connect Stark Bank to LangChain — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Multi-Step Payment Processing (LangChain)

Use `stark_create_pix_charge` to initiate an immediate payment, and then immediately use `stark_list_pix_charges` to confirm the transaction was logged. Your agent can build a chain that verifies payments in real time. This allows your reasoning pipeline to automate multi-stage processes. For instance, it can check the balance using `stark_get_balance`, then decide whether to generate a payment via `stark_create_transfer` or create an invoice with `stark_create_boleto`.

Automated Reconciliation Chains (MCP Server)

You can write chains that reconcile payments across different systems. Start by calling `stark_list_boletos` to see all outstanding receivables, then use the resulting data to inform a call to `stark_get_statement`. This gives you a complete audit trail. This means your agent doesn't just read data; it passes the output of one tool—like a list of transfers from `stark_list_transfers`—into another tool for processing. It's true, sequential automation.

Corporate Card Management (LangChain)

The agent can handle complex expense workflows in a single chain. First, it calls `stark_create_corporate_card` to issue the card data. Next, it tracks usage by calling `stark_list_pix_charges`. It combines these steps to provide full visibility. Building this logic lets you model actual business decisions: 'If balance is below X and I need Y cash flow, then create a Boleto.' You control the decision path.

Setup guide

Set up Stark Bank MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Stark Bank tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "stark-bank-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Stark Bank transactions"
    })
    print(result["messages"][-1].content)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Stark Bank. 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 Stark Bank MCP in LangChain

It doesn't just check one thing. Your agent can call `stark_get_balance` and then immediately follow up with a `stark_list_pix_charges` to ensure the payment was processed correctly before continuing.
Yep. The client can initiate outgoing payments by calling `stark_create_transfer`. It then uses `stark_list_transfers` to track the final status of those funds across different vendors or employees.
The MCP Server acts as a reliable source of data. You can chain multiple tools—like `stark_create_boleto` followed by `stark_list_boletos`—so the output feeds directly into your next logical step.
Absolutely. You can use the tool to issue cards via `stark_create_corporate_card`, and then monitor all associated debits by listing charges with `stark_list_pix_charges`.
This server handles detailed financial records, including raw cash flow statements and transaction history generated from the statement APIs.

Start using the Stark Bank MCP today

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