How to Use the Cora Bank MCP in LangChain

Run automated financial workflows by linking Cora Bank tools directly into your LangChain reasoning loops.

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Connect Cora Bank MCP to LangChain

Create your Vinkius account to connect Cora Bank to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cora Bank with LangChain

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Chain Cora Bank balance checks into your LangChain runs

The `cora_get_balance` tool retrieves your current cash reserves and pending funds directly inside your active LangChain run. Your agent checks this real-time balance before deciding whether to trigger subsequent steps in your pipeline. You can feed this financial status straight into a LangSmith trace to monitor how your model processes account data. This keeps your automated cash flow checks transparent and easy to debug.

Automate billing pipelines using this MCP Server

This MCP Server exposes `cora_create_invoice` to generate boletos and Pix QR codes, while `cora_cancel_invoice` handles cancellations when a customer changes their mind. Your chain reads incoming webhook events and triggers these tools based on logic you define. Because LangChain handles state transitions, you can feed the generated invoice ID from one step straight into `cora_get_invoice` in the next. This replaces manual copy-pasting with strict, code-driven execution.

ReAct agents can reconcile payments and execute transfers

The `cora_send_pix` tool lets your agent pay suppliers or refund customers using Pix or TED transfers directly from your Cora Bank account. Before executing, your chain uses `cora_get_statement` to confirm the original payment landed safely. LangChain's memory keeps track of the transaction history during the loop. The model reviews `cora_list_payments` to ensure it never sends a duplicate transfer to the same recipient.

Setup guide

Set up Cora Bank MCP in LangChain

Prerequisites

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

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

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

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Cora Bank tool calls through the MCP protocol.
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({
    "cora-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 Cora Bank transactions"
    })
    print(result["messages"][-1].content)

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

Install the necessary MCP adapters and use the multi-server client pointing to your Vinkius URL. Call the tool retrieval method to fetch the tools and pass them directly to your agent constructor.

Yes. Every call to your financial tools goes through the standard run tree. You will see the exact inputs, raw JSON outputs, and latency metrics inside your dashboard.

The server itself remains stateless. If your agent needs to remember previous invoices from your search results, use a persistent thread or the client session manager to store that context.

You can combine them easily. When a new row is written to your database, your agent can automatically call the invoice creation tool to generate a Pix code.

Your bank balance data retrieved by the tools stays inside Vinkius's secure V8 sandbox. LangChain only receives the final JSON payloads over encrypted transport, keeping your credentials hidden.

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